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Rational choice model

The rational choice model is a foundational framework in economics, political science, and sociology that models individual decision-making as the selection of actions maximizing expected utility from a set of alternatives, subject to informational, cognitive, and resource constraints.^[1] Core assumptions include transitive and complete preference orderings—enabling consistent rankings of outcomes—and the pursuit of self-interested goals, often formalized through expected utility theory where agents evaluate probabilities and payoffs to choose dominant options, such as u(a_i) > u(a_j) for preferred action a_i over a_j.^[2] This approach underpins microeconomic analysis of market equilibria, game-theoretic predictions of strategic interactions, and explanations of phenomena like voter turnout or criminal deterrence, where incentives align choices with observable outcomes.^[3] Empirical applications demonstrate predictive power in aggregate behaviors, such as consumer responses to price changes or policy shifts reducing crime via heightened perceived costs, though laboratory experiments reveal deviations like inconsistent risk preferences under uncertainty.^[4]^[5] Critiques, amplified in behavioral economics, highlight "bounded rationality" where heuristics and cognitive limits lead to apparent irrationality, yet rational choice remains robust for incentive-driven domains and can incorporate such bounds as adaptive strategies rather than refutations.^[6] Its extension to collective action resolves paradoxes, like why rational individuals contribute to public goods under repeated interactions or reputation effects, emphasizing causal mechanisms over purely descriptive anomalies.^[7]

Historical Development

Origins in Classical Economics

The foundations of the rational choice model emerged in classical economics through the conceptualization of individuals as self-interested agents pursuing their own benefits, a notion central to Adam Smith's An Inquiry into the Nature and Causes of the Wealth of Nations (1776). Smith argued that individuals, driven by a natural propensity to "truck, barter, and exchange," act to advance personal interests, inadvertently promoting societal welfare via the "invisible hand" mechanism.^[8]^[3] This portrayal prefigured the rational actor by emphasizing deliberate choices amid resource scarcity, though Smith integrated moral and social constraints absent in later purified models.^[9] Jeremy Bentham further advanced these ideas in An Introduction to the Principles of Morals and Legislation (1789), introducing utilitarianism's "felicific calculus" where agents rationally calculate actions to maximize pleasure and minimize pain.^[10] Bentham's framework posited quantifiable utility as the basis for decision-making, assuming individuals weigh costs and benefits instrumentally, which aligned with emerging views of economic behavior as goal-oriented optimization.^[11] This utilitarian calculus provided an early analytical tool for predicting choices under constraints, influencing subsequent economists like David Ricardo and John Stuart Mill, who applied similar self-interest assumptions to labor, trade, and distribution in works such as Ricardo's On the Principles of Political Economy and Taxation (1817).^[12] These classical contributions established the homo economicus archetype—a rational, utility-maximizing individual—as a foundational heuristic for economic analysis, diverging from mercantilist or physiocratic emphases on state direction or natural order by prioritizing individual agency.^[13] However, classical formulations lacked formal mathematical rigor and incorporated broader psychological and ethical dimensions, such as Smith's sympathy in The Theory of Moral Sentiments (1759), which tempered pure self-interest.^[14] This groundwork enabled neoclassical economists in the late 19th century to refine rational choice into explicit maximization problems, bridging descriptive behavior with predictive modeling.^[9]

Mid-20th Century Formalization

The mid-20th century saw the rational choice model transition from qualitative economic reasoning to axiomatic and mathematical frameworks, primarily in economics and extending to social choice theory. A pivotal contribution came in 1944 with John von Neumann and Oskar Morgenstern's Theory of Games and Economic Behavior, which formalized decision-making under uncertainty through expected utility theory. They established axioms—such as completeness, transitivity, continuity, and independence—under which rational agents maximize expected utility over lotteries, representing outcomes with probabilities, thus providing a cardinal utility measure derived from ordinal preferences over risky prospects.^[15]^[16] This framework quantified risk attitudes, with concave utility functions implying risk aversion, and laid groundwork for game theory by modeling interdependent choices as strategic interactions.^[15] Complementing this, Paul Samuelson's revealed preference theory, operationalized in his 1948 paper "A Note on the Pure Theory of Consumer's Behaviour," inferred rationality from observable market behavior rather than introspective utility. By positing that choices under varying budget constraints reveal consistent preferences—satisfying the Weak Axiom of Revealed Preference (WARP), where if bundle A is chosen over B at prices permitting B, then B cannot be chosen over A when affordable—Samuelson enabled empirical testing of rational choice without assuming measurable utility, grounding the model in falsifiable predictions.^[17] This approach addressed limitations in ordinal utility by focusing on choice consistency, influencing demand theory and welfare economics.^[17] In social choice, Kenneth Arrow's 1951 Social Choice and Individual Values formalized aggregation challenges, proving via his impossibility theorem that no non-dictatorial voting procedure can convert rational individual ordinal preferences into a rational social ordering while upholding unrestricted domain, Pareto efficiency, and independence of irrelevant alternatives.^[18] This result highlighted tensions in applying individual rationality to collective decisions, prompting refinements in rational choice applications. By 1957, Anthony Downs extended the model to politics in An Economic Theory of Democracy, treating voters as utility maximizers with ideological positions and parties as vote-seekers converging toward the median voter's preferences under majority rule, assuming rational ignorance for low-information citizens.^[19] These developments solidified the rational choice model as a predictive tool across domains, emphasizing utility maximization subject to constraints.^[19] The rational choice model gained traction in political science through Anthony Downs's 1957 book An Economic Theory of Democracy, which portrayed voters and political parties as rational actors seeking to maximize utility in a competitive electoral "market." Downs argued that parties would converge on policies appealing to the median voter to secure electoral majorities, treating ideological positions as instruments for vote maximization rather than ends in themselves.^[20] This framework explained phenomena like policy moderation in two-party systems and influenced subsequent models of legislative behavior and coalition formation.^[21] In criminology, Gary Becker extended the model in his 1968 paper "Crime and Punishment: An Economic Approach," positing that individuals commit crimes when the expected utility—factoring in gains from offense minus probabilities and severities of punishment—exceeds legitimate alternatives.^[22] Becker's formulation implied that optimal deterrence involves balancing detection likelihood and penalty magnitude to equate marginal costs across offenses, empirically tested through variations in policing and sentencing impacts on crime rates.^[23] This approach shifted analysis from offender psychology to incentive structures, informing policies like targeted enforcement.^[24] Sociologists like James Coleman further broadened applications in the 1980s and 1990s, using rational choice to explain emergent social structures from individual actions, as in his 1990 Foundations of Social Theory. Coleman modeled norms and social capital as outcomes of rational exchanges where actors forgo short-term gains for long-term relational benefits, such as reputation or reciprocity in networks.^[25] This micro-to-macro linkage addressed collective action problems, like public goods provision, by incorporating enforcement mechanisms and iterated interactions, with empirical support from studies on trust in communities and organizational compliance.^[26] Applications extended to voluntary associations and inequality persistence, where rational strategies perpetuate stratified equilibria despite aggregate inefficiencies.^[27]

Recent Extensions and Integrations (2000–Present)

Since the early 2000s, extensions to the rational choice model have increasingly incorporated psychological and neuroscientific insights to address empirical anomalies, such as preference reversals and context-dependent choices, while retaining utility maximization as a core mechanism. In behavioral economics, hybrid frameworks blend rational choice with bounded rationality, modeling agents as optimizing under cognitive constraints like limited attention or heuristics, rather than assuming perfect information processing. For example, post-2000 applications integrate prospect theory's kink-shaped value function and inverse-S probability weighting into choice models for financial decisions and policy design, enabling predictions of loss aversion's impact on market behavior without discarding ordinal preferences.^[6]^[28] These integrations, evident in nudge-based interventions since the 2008 publication of Nudge by Thaler and Sunstein, treat deviations as systematic biases correctable via choice architecture, preserving the model's predictive power in aggregate outcomes like savings rates.^[29] Neuroeconomics has further extended the model by mapping decision processes to neural mechanisms, providing empirical validation for utility representation while revealing causal roles for emotions in preference formation. Emerging around 2003 with foundational works like Glimcher's analysis of dopamine signals in value computation, the field uses fMRI to demonstrate that brain regions such as the ventromedial prefrontal cortex (vmPFC) encode subjective expected utility consistently with rational choice predictions during intertemporal and risk-laden choices.^[30] Extensions include neuronal models of trade-offs between rational deliberation and affective influences, where mixed emotions modulate but do not override maximization, as shown in studies disentangling amygdala-driven fear from vmPFC valuation in gain-loss framing tasks.^[31] This causal mapping refines the model by endogenizing preferences via neurobiological constraints, explaining inconsistencies like Allais paradoxes as arising from imprecise neural integration rather than inherent irrationality, with replicable effects in controlled experiments involving 20-50 participants per study.^[32] Evolutionary game theory integrations, advanced by Herbert Gintis since his 2000 Game Theory Evolving, embed rational choice in dynamical systems where preferences evolve through gene-culture coevolution, accounting for the emergence of reciprocity and fairness without ad hoc altruism assumptions. Gintis's framework models agents as rationally pursuing time- and context-dependent payoffs, including prosocial motivations shaped by learning rules and selection pressures, as formalized in replicator dynamics equations where strategies like tit-for-tat stabilize cooperation in repeated prisoner's dilemmas.^[33] In The Bounds of Reason (2009), this yields sociological extensions predicting how private rationality yields public goods provision via evolved beliefs in equity, supported by lab experiments showing 60-70% convergence to fair splits in ultimatum games under evolutionary pressures.^[34] These developments counter criticisms of narrow self-interest by deriving social preferences endogenously, enhancing the model's explanatory scope for institutions like markets and norms, with robustness tested across simulated populations of 1,000+ agents over 10,000 generations.^[35]

Core Assumptions and Principles

Individual Preferences and Utility

In the rational choice model, individuals are assumed to have well-defined preferences over alternative actions, outcomes, or bundles of goods, which satisfy specific axioms enabling their representation by a utility function. These preferences reflect the individual's ordering of options based on perceived desirability, independent of interpersonal comparisons.^[36]^[33] The foundational axioms are completeness and transitivity. Completeness requires that for any two alternatives A and B, the individual either prefers A to B, prefers B to A, or is indifferent between them, ensuring all options are comparable.^[36]^[37] Transitivity stipulates that if A is preferred to B and B is preferred to C, then A must be preferred to C, preventing cyclical preferences that could undermine consistent decision-making.^[36]^[37] These properties allow preferences to be mapped to a real-valued utility function u, where u(A) > u(B) if and only if A is strictly preferred to B, with indifference corresponding to equal utility.^[36]^[33] Utility in this framework is typically ordinal, meaning only the ranking of alternatives matters, not the magnitude of differences, as any strictly increasing transformation of the utility function preserves the preference order.^[36]^[33] For decisions under uncertainty, extensions like von Neumann-Morgenstern utility impose additional axioms—such as continuity and independence—to yield a cardinal utility function amenable to expected value calculations, where choices maximize expected utility.^[15] Preferences may encompass self-regarding outcomes, such as personal consumption, or other-regarding elements, like altruism toward family members, provided they remain consistent with the axioms; the model does not presuppose selfishness but focuses on internal coherence.^[33]^[3] Empirical applications often reveal apparent violations of these axioms, such as intransitivities in experimental choices, yet the model persists as a benchmark for predicting behavior under idealized conditions of full information and cognitive capacity.^[38] Revealed preference theory complements this by inferring preferences from observed choices, assuming consistency with utility maximization: if an individual selects A over B when both are affordable, then A must yield higher utility than B.^[36] This approach underpins analyses in economics and political science, where utility maximization subject to constraints like budgets or institutional rules explains outcomes from market exchanges to voting decisions.^[39]^[40]

Rationality and Decision-Making Criteria

In the rational choice model, rationality is defined as the consistent selection of actions that maximize an agent's utility given their preferences and available information. This instrumental form of rationality emphasizes efficient means-ends calculation, where individuals evaluate feasible alternatives and choose the one yielding the highest expected payoff without regard to the intrinsic nature of ends, provided preferences are well-ordered.^[41]^[33] Central to this framework are axioms ensuring preference consistency: completeness, requiring that for any two outcomes x and y, the agent either prefers x to y, y to x, or is indifferent; and transitivity, stipulating that if x is preferred to y and y to z, then x is preferred to z. These properties prevent intransitivities or incomparabilities that could lead to suboptimal or arbitrary choices, allowing preferences to be represented by a continuous utility function where rational decisions involve maximizing u(a_i) over alternatives a_i in the choice set.^[36]^[33] Decision-making criteria under rationality thus hinge on utility maximization: agents assess outcomes by assigning utilities derived from ordinal or cardinal preference rankings, selecting the dominant option where u(a_i) > u(a_j) for all other j, or the expected utility \sum p(s) u(o_s) under probabilistic states s with outcomes o_s and beliefs p(s) updated via Bayesian rules. This process assumes agents possess or approximate full knowledge of alternatives and constraints, prioritizing calculative efficiency over heuristic shortcuts, though empirical deviations—such as context-dependent preferences—challenge strict adherence in observed behavior.^[36]^[33] Additional axioms, such as independence of irrelevant alternatives, reinforce these criteria by ensuring choices remain stable when non-selected options are added or removed, underpinning the model's predictive power in domains like consumer theory where revealed preferences align with maximization under budget constraints.^[33] Violations, like Allais paradox outcomes, highlight limits but do not invalidate the core normative benchmark for rational deliberation.^[41]

Methodological Individualism and Causal Mechanisms

Methodological individualism underpins the rational choice model by positing that all social phenomena must be explained through the intentions, beliefs, and actions of individuals, rejecting explanations that treat groups or structures as causally primary entities independent of their constituent agents.^[42] This doctrine, formalized in the mid-20th century amid the rational choice revival, insists on microfoundations where aggregate outcomes arise from the summation or interaction of individual-level processes rather than irreducible holistic properties.^[42] In practice, it requires social scientists to demonstrate how individual decisions, modeled as utility maximization subject to constraints, generate observable patterns such as economic equilibria or institutional persistence.^[43] Within this framework, causal mechanisms refer to the identifiable sequences of events—governed by regularities in individual rationality—that connect antecedent conditions (like preferences and resource scarcity) to consequent social effects. Jon Elster, a key proponent, argues that methodological individualism facilitates such mechanisms by privileging intentional explanations, where agents' deliberate choices form the proximate causes of outcomes, over teleological or functional accounts that infer causation from end states alone.^[44] For instance, market prices emerge not as a collective force but through chains of individual trades driven by perceived gains, with each step traceable to agents' comparative evaluations of alternatives.^[43] This emphasis on mechanisms ensures causal traceability, as rational choice theory delineates how incomplete information or strategic interdependence among agents can produce unintended systemic results, such as coordination failures or evolutionary stable strategies in repeated interactions. Empirical applications, from voter turnout models to alliance formations, thus rely on disaggregating macro events into verifiable individual incentives and responses, providing a reductive yet non-eliminative path to social explanation.^[43] By grounding causation in observable choice behaviors, the approach contrasts with correlational methods, prioritizing interventions at the individual level to predict and manipulate aggregate dynamics.

Formal Mathematical Framework

Utility Maximization Under Constraints

In the rational choice model, decision-making is represented as an optimization problem where an agent selects from a feasible set of alternatives to maximize a utility function u(a), with a denoting the chosen action or allocation and the feasible set C defined by binding constraints such as resource limits or institutional rules.^[45] This formulation posits that rational agents evaluate alternatives based on their utility rankings and choose the one yielding the highest value within C, assuming preferences are complete, transitive, and continuous to ensure a maximum exists.^[39] In economic applications, particularly consumer theory, the problem is specified as \max_{\mathbf{x}} u(\mathbf{x}) subject to the budget constraint \mathbf{p} \cdot \mathbf{x} \leq I and non-negativity \mathbf{x} \geq \mathbf{0}, where \mathbf{x} is the vector of quantities of goods, \mathbf{p} the price vector, and I the income endowment.^[46] The constraint reflects scarcity, forcing trade-offs; for instance, higher consumption of one good reduces affordability of others at given prices. Under standard assumptions of strict quasi-concavity of u and linear constraints, the solution is unique and lies on the budget line, equating marginal rate of substitution to the price ratio.^[46] The method of Lagrange multipliers provides the analytical solution for interior optima: form \mathcal{L}(\mathbf{x}, \lambda) = u(\mathbf{x}) + \lambda (I - \mathbf{p} \cdot \mathbf{x}), yielding first-order conditions \frac{\partial u}{\partial x_i} = \lambda p_i for each i, alongside the binding constraint \mathbf{p} \cdot \mathbf{x} = I.^[47] Here, \lambda represents the shadow price or marginal utility of relaxing the constraint by one unit, such as the value of an additional dollar of income. Boundary solutions, where some x_i = 0, require complementary slackness via Kuhn-Tucker conditions to handle corner cases like indivisibilities or zero demand.^[47] This constrained maximization extends beyond consumption to production (e.g., \max profit subject to technology sets) and non-market decisions (e.g., time allocation under 24-hour budgets), underpinning derivations of demand functions, such as Marshallian demands where x_i(\mathbf{p}, I) traces out how choices respond to parameter changes via comparative statics.^[48] Envelope theorems further link parameter variations to direct effects on the optimum, enabling welfare analysis without recomputing the full solution.^[47] While the model assumes perfect information and foresight, its formal structure facilitates tractable predictions in equilibrium contexts like general equilibrium theory.^[46]

Incorporation of Uncertainty and Risk

The rational choice model addresses uncertainty by positing that agents maximize expected utility, calculated as the probability-weighted sum of utilities across possible outcomes. A lottery, representing a probabilistic choice, assigns probabilities p_i to outcomes x_i, yielding expected utility EU(L) = \sum p_i u(x_i), where u denotes the von Neumann-Morgenstern utility function unique up to positive affine transformations. This approach assumes objective probabilities are known, distinguishing risk (quantifiable uncertainty) from broader subjective uncertainty. The expected utility representation derives from four axioms on preferences over lotteries: completeness (every pair of lotteries is comparable), transitivity (consistent rankings), continuity (intermediate lotteries are preferred between extremes), and independence (mixing a preferred lottery with a common alternative preserves preference). These axioms, established by von Neumann and Morgenstern in 1944, suffice and are necessary for the existence of such a utility function, enabling ordinal preferences to become cardinal under risk. Violations, such as in Allais paradox experiments, challenge the independence axiom but do not invalidate the model's formal structure for axiom-compliant agents.^[49] Risk attitudes emerge from the curvature of u: concave functions (u'' < 0) indicate risk aversion, where agents forgo fair gambles for their expected value; linear functions denote risk neutrality; convex functions signal risk loving. The Arrow-Pratt measure quantifies absolute risk aversion as r_A(w) = -\frac{u''(w)}{u'(w)} at wealth w, with higher values reflecting greater aversion; for instance, constant r_A aligns with exponential utility, while decreasing r_A (as wealth rises) implies agents take larger absolute risks when richer, a pattern observed in portfolio choices.^[50]^[51] Relative risk aversion, w \cdot r_A(w), scales by wealth for cross-asset comparisons, such as in consumption-saving models under income shocks.^[51] Under subjective uncertainty, where probabilities are unobservable, Leonard Savage's 1954 framework extends rational choice by deriving both subjective probabilities and utilities from axioms including state independence and event separability, yielding subjective expected utility maximization. This unifies objective risk with Knightian uncertainty, assuming agents act as if assigning coherent beliefs.^[52] Empirical applications, like insurance demand, verify risk aversion via willingness to pay premiums exceeding actuarial costs, consistent with concave utilities in household surveys.^[53]

Game-Theoretic Extensions for Interactions

The rational choice model, which posits that individuals select actions to maximize their utility given constraints, is extended to multi-agent interactions through game theory, where outcomes depend on the interdependent strategies of multiple decision-makers. In such settings, each agent's payoff function incorporates not only their own choice but also the anticipated choices of others, requiring strategic foresight rather than isolated optimization. This framework formalizes interactions as games, defined by a set of players, each with a strategy set and a utility function over joint strategy profiles.^[54]^[55] The foundational text establishing this extension is Theory of Games and Economic Behavior by John von Neumann and Oskar Morgenstern, published in 1944, which introduced both cooperative and non-cooperative analyses of strategic interdependence while axiomatizing utility under uncertainty via expected utility theory. Non-cooperative game theory, central to rational choice extensions, models players as independently maximizing utility without binding commitments, represented in normal (strategic) form as payoff matrices that capture simultaneous-move interactions. A pivotal refinement came with John Nash's 1950 concept of Nash equilibrium, a strategy profile in which no player can improve their payoff by unilaterally altering their strategy, given the strategies of others; Nash proved its existence for finite games, including mixed-strategy equilibria.^[56]^[54]^[57] Further developments address sequential interactions and incomplete information. Extensive-form games, using game trees, depict moves over time, with Reinhard Selten's 1965 subgame perfect equilibrium refining Nash by requiring optimality in every subgame via backward induction, eliminating non-credible threats. For uncertainty about others' types or payoffs, John Harsanyi's 1967 Bayesian games incorporate prior beliefs updated via Bayes' rule, enabling equilibria under incomplete information; Harsanyi, Nash, and Selten shared the 1994 Nobel Prize in Economics for these contributions. These extensions maintain rational choice axioms—complete, transitive preferences and utility maximization—but impose common knowledge of rationality, allowing prediction of stable outcomes in bargaining, auctions, and conflicts.^[54]^[55] In social sciences, these tools analyze emergent phenomena like market competition (e.g., Cournot oligopoly equilibria) and collective action dilemmas (e.g., Prisoner's Dilemma, where dominant strategies yield suboptimal group outcomes despite individual rationality). Repeated games introduce folk theorems, showing that cooperation can be sustained as equilibria through trigger strategies if players are sufficiently patient, as formalized by Robert Aumann in 1959 and extended in the 1980s. Empirical applications, such as in auction design (e.g., Vickrey auctions achieving efficient allocations), validate predictive power, though assumptions of perfect rationality face scrutiny in experimental settings revealing deviations.^[54]^[55]

Applications and Empirical Domains

Economic Behavior and Markets

![Supply and demand equilibrium][float-right] The rational choice model underpins consumer behavior in markets by assuming individuals maximize utility from consumption bundles subject to budget constraints, where the marginal utility per dollar spent is equalized across goods at optimal choice. This yields downward-sloping demand curves, as higher prices reduce purchasing power and substitute toward alternatives, reflecting opportunity costs. Empirical observations in competitive markets, such as agricultural commodities, show demand responsiveness aligning with these predictions, with price elasticities often ranging from -0.5 to -1.5 for staples like tomatoes.^[58]^[36] Producers, modeled as rational profit maximizers, select input-output combinations where marginal revenue equals marginal cost, generating upward-sloping supply curves that shift with technology or input prices. In perfectly competitive markets, aggregation of these individual choices leads to equilibrium where supply intersects demand, clearing markets and determining prices that equate quantity supplied and demanded. The Arrow-Debreu general equilibrium framework formalizes this, demonstrating existence and Pareto efficiency under assumptions of complete markets and convex preferences, with historical validations in auction markets where prices converge rapidly to theoretical levels.^[36] Market dynamics under rational choice explain allocative efficiency, as resources flow to highest-valued uses via price signals, evidenced by post-deregulation adjustments in industries like U.S. airlines after 1978, where fares fell 40% in real terms and capacity utilization rose due to competitive entry and exit. Deviations from full rationality, such as bounded information, are incorporated via extensions like search models, yet core predictions hold in large-scale markets with low transaction costs. Gary Becker's extensions applied the model to non-market behaviors but reinforced its utility in explaining labor supply and human capital investments influencing market participation.^[39]^[59]

Political Processes and Institutions

The rational choice model applies to political processes by positing that voters, politicians, and bureaucrats act as utility maximizers within institutional constraints. In Anthony Downs's 1957 model of democracy, voters select candidates whose platforms most closely align with their preferences, while parties position themselves to capture the median voter's ideal point to maximize electoral chances, assuming two-party competition and single-peaked preferences.^[60] This predicts policy convergence toward the center in majoritarian systems.^[61] A central puzzle is the paradox of voting: the expected utility of a single vote is near zero due to low decisiveness probability, implying rational abstention, yet turnout often exceeds 50% in democracies.^[62] Rational choice explanations include expressive benefits, where voting yields psychological satisfaction akin to consuming a favored good, or civic duty incorporated into utility functions.^[63] Empirical studies, such as those analyzing U.S. elections, find that turnout correlates with perceived closeness of races, supporting the decisiveness motive, though magnitudes vary.^[64] In legislative processes, rational actors engage in logrolling—trading votes on bills—to overcome collective action hurdles and secure personal gains, as modeled in public choice frameworks.^[65] Interest groups form coalitions to lobby for concentrated benefits, dispersing costs across taxpayers, explaining phenomena like pork-barrel spending; U.S. congressional data from 1980-2000 shows earmarks totaling billions annually, often inefficiently allocated.^[66] Bureaucracies, per William Niskanen's 1971 model, maximize budgets to enhance discretion, salaries, and output, leading to overproduction since bureaus face monopoly supply without market prices.^[67] Empirical tests, including cross-national agency growth data, indicate budget expansion correlates with bureaucratic power rather than efficiency needs, as seen in U.S. federal agencies post-1940s where spending rose disproportionately to service demands.^[68] Institutions like oversight committees and sunset provisions mitigate these incentives by introducing competition or review mechanisms.^[69] Constitutions and federalism emerge in rational choice views as devices to bind self-interested rulers, aggregating preferences via rules like veto points to prevent exploitation, as in James Buchanan and Gordon Tullock's 1962 analysis of consent-based governance.^[65] Evidence from comparative politics shows federal systems with divided powers exhibit lower rent-seeking than unitary ones, with metrics like corruption indices correlating negatively with decentralization depth in OECD countries since 1990.^[70] However, institutions can entrench inefficiencies if actors capture them, underscoring the model's emphasis on incentive alignment over benevolent design.^[71] In social interactions, the rational choice model extends individual utility maximization to scenarios of strategic interdependence, where agents' payoffs depend on others' actions, often yielding collective outcomes that fail to align with aggregate welfare. This framework, rooted in game theory, highlights dilemmas such as the prisoner's dilemma, where mutual defection emerges as the Nash equilibrium despite mutual cooperation offering higher joint payoffs, as each agent rationally anticipates the other's self-interested response.^[54] Such non-cooperative equilibria explain persistent social inefficiencies absent enforcement mechanisms. A core application arises in collective action problems, particularly the provision of public goods, where non-excludable benefits incentivize free-riding: rational individuals contribute minimally, anticipating others' efforts to cover costs, resulting in underproduction. Mancur Olson's 1965 analysis demonstrates that voluntary groups, especially large ones, struggle to achieve their goals without selective incentives—private rewards or punishments tying benefits to participation—since diffuse interests yield insufficient motivation for contribution.^[72] Empirical patterns in labor unions and interest groups corroborate this, with concentrated beneficiaries (e.g., industry lobbies) organizing more effectively than broad publics (e.g., taxpayers opposing pork-barrel spending).^[73] The tragedy of the commons exemplifies resource depletion from uncoordinated maximization: each user rationally exploits a shared asset to marginal gain, disregarding externalities, leading to overuse beyond sustainable levels. Garrett Hardin's 1968 formulation models this as herdsmen adding cattle to common pastureland, where individual profit from the extra animal exceeds the shared cost of degradation, culminating in ruin for all. Real-world instances, such as overfishing in open seas or urban air pollution prior to regulatory caps, align with this prediction, underscoring the need for property rights or quotas to internalize costs. In democratic processes, aggregating rational preferences into collective decisions reveals inherent paradoxes, as Kenneth Arrow's 1951 impossibility theorem proves no voting procedure can consistently rank alternatives from ordinal individual preferences while satisfying non-dictatorial, Pareto-efficient, and independent criteria.^[18] This implies cyclical majorities (e.g., A beats B, B beats C, C beats A) can arise from sincere rational rankings, destabilizing outcomes and favoring agenda manipulation or status quo biases in legislatures.^[74] Mechanisms mitigating these failures include iterated interactions fostering reciprocity: Robert Axelrod's 1984 computational tournaments of the prisoner's dilemma revealed that "tit-for-tat"—cooperating initially and mirroring the opponent's last move—outperforms defection in sustaining cooperation through shadow-of-the-future effects and error forgiveness.^[75] Selective incentives or institutional rules, as Olson notes, further enable coordination in enclaves of repeated play, explaining emergent norms in small communities or firms despite baseline rational egoism.^[72]

Empirical Evidence and Predictive Success

Key Tests and Validation Studies

One foundational empirical test of the rational choice model in economics is the revealed preference framework, introduced by Paul Samuelson in 1938, which derives necessary and sufficient conditions for observed choices to be consistent with utility maximization under budget constraints.^[76] The weak axiom of revealed preference (WARP) posits that if a consumer chooses bundle A over bundle B when both are affordable, they should not choose B over A in a subsequent situation where A is affordable, providing a falsifiable test applied to household expenditure data.^[76] Empirical analyses of consumer price-quantity data from various periods, such as postwar U.S. household surveys, often satisfy WARP, indicating broad consistency with rational choice axioms absent parametric utility assumptions.^[77] Houthakker's 1950 extension to the strong axiom of revealed preference (SARP) further accommodates dynamic choices over time, with tests on aggregate consumption data confirming integrability in many cases, though violations occur under changing preferences or measurement errors.^[78] In experimental economics, Vernon Smith's induced valuation experiments from the 1960s onward validated rational choice by demonstrating convergence to competitive equilibrium in laboratory markets, even with inexperienced subjects.^[79] For instance, in continuous double auctions, prices stabilized near predicted equilibria within minutes, with efficiencies exceeding 90% after accounting for initial errors, supporting the model's predictive power for aggregate outcomes despite individual deviations.^[79] These results, replicated across commodities and institutions, earned Smith the 2002 Nobel Prize in Economics and underscored the "as-if" rationality where ecological incentives elicit utility-maximizing behavior.^[79] Field extensions, such as emissions trading simulations, similarly showed rational adaptation to rules, yielding efficient allocations.^[79] In political science, spatial voting models derived from rational choice, such as Downs' 1957 median voter theorem, have been tested against election data, predicting candidate convergence toward centrist positions in two-party systems.^[80] Empirical studies of U.S. congressional elections from 1946 to 2000 found platforms clustering near voter medians on key dimensions like ideology, with deviations explained by asymmetric turnout or uncertainty, affirming the model's directional accuracy over null hypotheses of random positioning.^[81] Rational choice explanations for turnout, incorporating expressive benefits and pivot probabilities, matched observed participation rates in high-stakes elections, such as U.S. presidential contests where costs like travel time were offset by perceived influence.^[82] These validations highlight the framework's utility in forecasting institutional equilibria, though reliant on accurate preference elicitation.^[80]

Real-World Policy and Market Outcomes

The rational choice model has underpinned mechanism design in spectrum auctions conducted by the Federal Communications Commission (FCC) since 1994, leveraging bidders' utility-maximizing strategies to allocate radio frequencies efficiently. These simultaneous ascending auctions, informed by game-theoretic extensions of rational choice theory, enabled participants to reveal valuations through iterative bidding, resulting in near-efficient license assignments and over $233 billion in federal revenues by 2023. Empirical analyses confirm that strategic bidding aligned with predicted equilibria, minimizing hold-up problems and outperforming prior administrative methods in speed and revenue generation.^[83]^[84]^[85] In environmental policy, the U.S. sulfur dioxide (SO2) cap-and-trade program, established under Title IV of the 1990 Clean Air Act Amendments, applied rational choice incentives by permitting utilities to trade emission allowances based on cost-minimizing abatement decisions. This framework achieved a 52% reduction in SO2 emissions from affected sources between 1990 and 2005—exceeding statutory caps—while actual compliance costs averaged $1.6 billion annually from 1995 to 2004, 15-50% below pre-program projections for uniform command-and-control standards. Trading activity, driven by firms' profit motives, facilitated allowance prices stabilizing around $200-400 per ton, enabling low-cost emitters to expand output and high-cost ones to retire capacity, as evidenced by econometric studies of abatement patterns.^[86]^[87] Public choice theory, an extension of rational choice to political processes, has empirically illuminated policy persistence despite inefficiency, such as in U.S. agricultural subsidies, where logrolling and rent-seeking by concentrated interests explain annual expenditures exceeding $20 billion as of 2020, aligning with predictions of self-interested legislator behavior over diffuse taxpayer costs. Deregulation efforts informed by these models, including the 1978 Airline Deregulation Act, validated rational choice forecasts by fostering competition that reduced average fares by 40% in real terms by 1997 while increasing passenger volume fivefold, without commensurate safety declines. These outcomes underscore the model's utility in anticipating market responses to incentive realignments, though empirical tests highlight contexts where informational asymmetries temper full rationality.^[65]^[68]

Comparative Advantages Over Alternatives

The rational choice model demonstrates superior parsimony relative to alternatives such as behavioral economics and descriptive sociological frameworks, employing uniform assumptions about utility maximization under constraints to account for behavioral variations through structural differences rather than proliferating ad-hoc psychological biases or normative influences. This minimalism reduces theoretical complexity, enabling systematic explanations of phenomena like post-decisional preference shifts or ideological formation without invoking heterogeneous mental modules or culturally specific rules, as critiqued in non-optimizing models.^[88]^[88] In terms of predictive power, the model generates decisive, falsifiable hypotheses applicable across diverse contexts, such as predicting that vote-maximizing parties avoid policies opposing all constituencies or that structural positions shape belief updates to resolve cognitive dissonance, outperforming indecisive alternatives like norm-based or connectionist approaches that fail to rule out improbable outcomes.^[88] Its deductive structure facilitates aggregation from individual choices to collective results, as in resolving Arrow's impossibility theorem by modeling institutional incentives, yielding clearer forecasts than post-hoc descriptive theories.^[40]^[88] Empirically, rational choice has validated predictions in economics through consistent forecasting of market behaviors and in politics via statistical tests, including pooled cross-sectional time-series analyses of 74 former Western colonies from 1960–1990, which confirmed higher state interventionism linked to colonial bureaucratic legacies rather than vague modernization factors. It addresses anomalies like voting turnout or endowment effects by endogenizing preferences and beliefs, often aligning with aggregate data where behavioral deviations average out, unlike alternatives that prioritize micro-irregularities at the expense of macro-accuracy.^[88]^[88] As a unifying analytical tool, it bridges microfoundations to macro-outcomes across disciplines, incorporating social and institutional elements as constraints or incentives—such as elite experiences shaping policy ideologies in post-colonial states—while avoiding the tautological heterogeneity of structuralist or cultural models that resist cumulation. This adaptability sustains its normative role in evaluating institutional designs, contrasting with behavioral syntheses that dilute core mechanisms for anomaly-fitting.^[40]^[88]

Criticisms from Various Perspectives

Psychological and Behavioral Limits

The rational choice model assumes agents possess unlimited cognitive capacity to process information, evaluate alternatives, and select utility-maximizing options under uncertainty. However, psychological evidence reveals inherent limits in human information processing and decision-making, as articulated in Herbert Simon's concept of bounded rationality. Introduced in his 1955 paper, bounded rationality posits that decision-makers operate under constraints of incomplete information, finite computational ability, and time pressures, leading them to adopt satisficing strategies—choosing options that meet adequacy thresholds rather than exhaustively optimizing.^[89] Simon's framework, formalized further in his 1957 collection Models of Man, draws from observations in organizational behavior where executives rely on heuristics to navigate complex environments, deviating from the model's idealized global rationality.^[90] Empirical anomalies further challenge the model's descriptive accuracy, particularly through violations of expected utility theory's axioms. The Allais paradox, demonstrated by Maurice Allais in 1953 experiments, shows participants preferring a certain $1 million over an 89% chance of $1 million and 10% chance of $5 million, yet reversing preferences when a 1% loss chance is added to both, infringing the independence axiom essential to rational choice.^[91] Similarly, Daniel Kahneman and Amos Tversky's prospect theory (1979) documents systematic deviations, including loss aversion—where losses loom larger than equivalent gains—and the certainty effect, prioritizing sure outcomes over probabilistically superior gambles, as evidenced in choice experiments with real and hypothetical stakes.^[92] These patterns, replicated across diverse populations, indicate reference-dependent evaluations and probability weighting that contradict transitive, consistent preferences assumed in rational choice.^[93] Cognitive biases exacerbate these limits, with heuristics substituting for complex calculations in uncertain contexts. Anchoring occurs when initial values unduly influence judgments, as shown in adjustment tasks where estimates remain biased toward arbitrary anchors despite incentives for accuracy.^[94] Framing effects demonstrate how equivalent options presented as gains versus losses elicit divergent choices, linked to amygdala activation in neuroimaging studies, suggesting emotional influences override probabilistic reasoning.^[95] While some biases diminish under high stakes, persistent deviations in laboratory and field settings—such as base-rate neglect and overreliance on availability—underscore that human cognition favors fast, intuitive System 1 processes over deliberate System 2 deliberation, rendering unbounded rationality psychologically implausible.^[96] These findings, grounded in replicable experiments, highlight the model's failure to account for evolved cognitive shortcuts that prioritize efficiency over perfection in real-world decisions.^[97]

Sociological and Institutional Challenges

Sociological critiques of the rational choice model emphasize its undersocialized conception of actors, portraying individuals as atomized utility maximizers detached from relational networks and normative contexts. Mark Granovetter argued that economic actions are embedded in ongoing social relations, which moderate self-interested calculations through trust, reputation, and reciprocity, rather than pure instrumental rationality.^[98] This embeddedness challenges the model's assumption of discrete, independent transactions, as evidenced in labor markets where network ties influence hiring and wages beyond individual optimization, with studies showing up to 56% of jobs obtained via personal contacts in the U.S. during the 1970s-1980s. Granovetter positioned this against both neoclassical economics' under-socialization and structural functionalism's over-socialization, advocating a meso-level analysis of concrete networks that RCT overlooks.^[99] Institutionally, the model struggles to account for path dependence, where historical contingencies and increasing returns lock actors into suboptimal equilibria that rational foresight would avoid. Douglass North's analysis of institutional evolution highlights how transaction costs and enforcement mechanisms sustain inefficient arrangements, such as QWERTY keyboard persistence despite superior alternatives, due to coordination failures among rational agents.^[100] Empirical cases, like the persistence of agricultural subsidies in the European Union costing €55 billion annually as of 2013 despite distorting markets, illustrate how sunk costs and interest group lobbying entrench institutions beyond aggregate utility maximization.^[101] Critics like Geoffrey Hodgson contend that RCT's methodological individualism fails to incorporate habits and routines as evolved institutional constraints, reducing explanatory power for long-term social stability.^[100] Further challenges arise from the endogeneity of preferences within institutions, contradicting RCT's exogenous utility functions. Sociological institutionalism, drawing on Weberian traditions, posits that norms and cognitive scripts internalized through socialization—such as caste systems in India or guild regulations in medieval Europe—shape choices prior to rational deliberation, with evidence from cross-cultural studies showing variance in time preferences uncorrelated with economic incentives alone.^[102] In political contexts, rational choice institutionalism explains rule compliance via self-interest but falters on endogenous norm formation, as seen in Robert Bates' applications where African patronage systems endure despite apparent inefficiencies, requiring supplementary cultural factors.^[103] These limitations underscore RCT's difficulty modeling institutional change without auxiliary assumptions, as validated by critiques noting its predictive shortfalls in revolutions or policy reversals, where collective identities override individual calculus.^[104]

Philosophical and Methodological Objections

One prominent methodological objection to the rational choice model centers on its commitment to methodological individualism, which posits that social phenomena arise solely from the aggregation of individual actions and preferences, thereby reducing complex collective outcomes to atomic decisions. Critics contend this approach overlooks emergent properties of social structures that cannot be fully explained by individual-level mechanisms, as institutions and norms exert causal influences independent of rational calculations.^[43]^[105] A core methodological critique is the unfalsifiability of the utility-maximization postulate in its strong form, where preferences are unobservable and any observed behavior can be retrofitted by assigning ad hoc utility values, rendering the theory tautological rather than empirically testable. Geoffrey Hodgson argues that this renders rational choice incapable of generating refutable predictions about specific behaviors, as "all types of observable behaviour might conceivably result from such an assumption," echoing Paul Samuelson's 1938 observation on revealed preference.^[100] Empirical tests of payoff maximization, a more concrete variant, have been refuted by anomalies such as framing effects and rejections in ultimatum games, yet the flexible utility framework accommodates these without revision.^[100] Philosophically, the model embeds value judgments by equating rationality with preference satisfaction, implying an ethical endorsement of self-interested maximization as normatively desirable, which critics view as ideologically laden rather than value-neutral. This ontological assumption of atomistic agents with exogenous, stable preferences neglects the socially constructed nature of desires and ignores deeper psychological or evolutionary determinants of choice, reducing human agency to deterministic optimization without causal depth.^[106]^[100] Donald Green and Ian Shapiro further highlight methodological pathologies in applications, including post-hoc adjustments and arbitrary restrictions on model domains to fit data, which undermine the theory's scientific rigor in explaining political institutions.^[107]

Responses, Defenses, and Theoretical Evolutions

As-If Rationality and Instrumental Utility

The as-if rationality doctrine, articulated by Milton Friedman in his 1953 essay "The Methodology of Positive Economics," posits that economic models need not assume actors literally compute probabilities and maximize utility; rather, they should predict observed behavior as if agents were rational maximizers under given constraints, with success measured by empirical forecasting accuracy rather than psychological realism of assumptions.^[108] This instrumental approach prioritizes the model's capacity to generate falsifiable predictions about aggregate outcomes, such as market prices or policy responses, over descriptive fidelity to internal decision processes.^[109] Critics challenging rational choice on grounds of cognitive implausibility—e.g., assuming perfect information or unbounded computation—thus miss the point, as the framework's validity hinges on behavioral conformity to optimization equilibria, not causal mechanisms of choice.^[110] Instrumental utility in this context operationalizes rationality as effective means-ends alignment, where a utility function encodes ordinal preferences over alternatives, and choices are those maximizing expected utility given beliefs about constraints.^[41] For instance, an agent selects action a_i over a_j if u(a_i) > u(a_j), without requiring cardinal measurement or explicit calculation; the "as-if" presumption suffices if such selections yield predictable patterns, as in demand curves shifting with income changes. This defends the model against behavioral anomalies by recasting deviations as noise that aggregates to rational-like equilibria via selection pressures, such as arbitrage in financial markets enforcing efficiency despite individual irrationality.^[111] Empirical validation includes simulations showing that even random or heuristic-based agents can converge to Nash equilibria under repeated interactions, mimicking full rationality outcomes.^[112] Proponents argue this framework's instrumental strength lies in its generality and testability, enabling extensions like evolutionary game theory where "as-if" optimization emerges from fitness maximization rather than deliberation. Responses to critiques emphasize that instrumental rationality underpins action theory broadly, not just economics; rejecting it undermines explanations of goal-directed behavior without offering superior predictive alternatives.^[113] For example, policy analyses using rational choice have accurately forecasted responses to incentives, such as labor supply elasticities around 0.2-0.5 in U.S. tax reforms from 1980-2010, validating the as-if lens over descriptivist models.^[114] While acknowledging bounded cognition, the doctrine maintains that utility maximization remains the benchmark for evaluating deviations, preserving the model's core utility in causal inference.^[115]

Empirical Rebuttals to Anomalies

Field experiments conducted outside controlled laboratory settings have demonstrated that many purported anomalies in decision-making, such as the endowment effect and status quo bias, diminish or disappear when participants gain market experience or face real economic consequences. For instance, in studies involving sports card traders, experienced dealers exhibited minimal endowment effects compared to novices, suggesting that repeated market interactions foster behaviors consistent with rational choice predictions of indifference between buying and selling prices.^[116] Similarly, field tests in environmental goods markets found that exogenous market experience reduced anomalies like the willingness-to-accept/willingness-to-pay gap, aligning outcomes more closely with standard rational models.^[117] Elevated incentives in real-world contexts often restore rational performance where low-stakes laboratory tasks reveal deviations. Gneezy and Rustichini (2000) showed in a relay race experiment that small monetary rewards decreased effort relative to no incentives, but sufficiently large incentives—scaled to make the task salient—significantly boosted performance, supporting the rational choice tenet that agents respond to marginal costs and benefits when stakes are meaningful.^[118] This pattern holds across domains: in high-stakes auctions and bargaining, participants converge toward expected utility maximization, unlike in artificial lab scenarios with trivial payoffs.^[119] Aggregated field data further indicate that individual-level anomalies rarely disrupt market-level predictions of rational choice theory. Levitt and List (2006) reviewed evidence from diverse settings, including charitable giving and pricing, finding that while lab social preferences like altruism appear pronounced, field behaviors under selection pressures (e.g., competition) yield outcomes indistinguishable from self-interested rationality, as agents with irrational tendencies are weeded out.^[120] Meta-analyses of lab-field comparisons confirm that anomalies attenuate with ecological validity, such as institutional constraints or repeated play, implying that rational models robustly approximate real-world equilibria despite isolated deviations.^[121]

Extensions Incorporating Bounded Rationality and Emotions

Bounded rationality, introduced by Herbert A. Simon in his 1955 paper "A Behavioral Model of Rational Choice," relaxes the rational choice model's assumptions of unlimited cognitive capacity, complete information, and exhaustive computation by positing that decision-makers operate under constraints of limited time, knowledge, and mental resources, leading to satisficing—selecting satisfactory rather than optimal alternatives.^[89] Simon's framework, for which he received the Nobel Prize in Economics in 1978, emphasizes procedural rationality, where choices emerge from heuristic search processes rather than global optimization, better aligning theoretical predictions with observed human behavior in complex environments.^[122] This extension maintains the core utility-maximization intent of rational choice but adapts it to realistic cognitive architectures, as evidenced in organizational decision-making studies where managers prioritize feasible options over unattainable ideals.^[123] Incorporating emotions into rational choice models addresses the traditional omission of affective influences, which empirical evidence shows systematically shape preferences and risk assessments beyond cold calculation. In behavioral economics, Daniel Kahneman's "Maps of Bounded Rationality" (2003) integrates emotional factors like fear and optimism into decision weights, demonstrating how prospect theory—developed with Amos Tversky in 1979—captures loss aversion, where emotional dread of losses outweighs equivalent gains, deviating from expected utility but improving empirical fit in financial and policy choices. Emotions serve as mechanisms for boundedly rational agents by providing fast, heuristic signals in uncertain contexts, as argued in models where affective arousal bounds rationality by narrowing attentional focus or inducing biases, yet enhancing adaptive efficiency in real-time decisions.^[124]^[125] Further extensions blend bounded rationality with emotions through neuroeconomic approaches, such as somatic marker hypothesis proposed by Antonio Damasio, where bodily emotional signals guide choices under ambiguity, countering the hyper-rationality critique by embedding affective valuation directly into utility functions. These models, supported by fMRI studies showing amygdala activation correlating with emotional biases in gambling tasks, extend rational choice by endogenizing emotions as informational inputs rather than noise, yielding more accurate predictions in domains like moral decision-making and intertemporal trade-offs.^[126] Empirical validations, including Lerner et al.'s appraisal-tendency framework (2015), reveal discrete emotions like anger promoting optimistic risk-taking versus fear's conservatism, both within bounded cognitive limits, thus refining rational choice for heterogeneous human motivations without abandoning instrumental reasoning.^[127]

References

[1]
Rational Choice Theory - an overview | ScienceDirect Topics
The basic assumptions of rational choice are that humans have preferences, that they are able to rank their preferences ('I prefer apples to oranges'); that ...
[2]
Rational Choice Theory: Toward a Psychological, Social, and ...
This theory is focused on a few determinants of individual choices; and methods of aggregating social behavior are based on the decisions of individual actors.
[3]
Expert Insights on Rational Choice Theory - UCR School of Business
Aug 5, 2024 · Rational Choice Theory (RCT) is a school of thought stating people's decisions are based on rational analysis to achieve favorable outcomes.
[4]
[PDF] RATIONAL CHOICE THEORY: ASSUMPTIONS, STRENGHTS, AND ...
Abstract. This study reviewed the origin of the rational choice theory and how it came to be adopted as one of the major approaches or paradigms of analysis ...
[5]
[PDF] Rational Choice, Deterrence, and Social Learning Theory in ...
Rational choice also has inspired some empirical work on decision making in specific crime and crime events as well as in criminal justice policy, both of which ...
[6]
[PDF] Rational Choice, Behavioral Economics, and the Law
Behavioral economics rejects the assumption that people are rational maximizers of preference satisfaction in favor of assumptions of "bounded rationality," " ...Missing: peer | Show results with:peer
[7]
(PDF) Rational Choice Theory : Assumptions , Strenghts , and ...
Jan 3, 2023 · How did the rational choice theory originate in political science? 2. What are the basic assumptions, criticism, strengths and weaknesses? 3 ...
[8]
What Is Rational Choice Theory? - Investopedia
May 26, 2025 · Adam Smith was one of the first economists to develop the underlying principles of rational choice theory. Rational choice theory is often ...
[9]
Rational Choice Theory: What It Is in Economics, With Examples
Oct 10, 2023 · The underlying notion of rational choice theory dates back to classical economists such as Adam Smith, but the theory was not adopted into ...
[10]
Classical and Rational Choice Theories – Criminology
Rational choice theory is a social science perspective that seeks to explain ... Jeremy Bentham. It represented a major shift from the earlier views of ...
[11]
Theory of Rationality and Rational Choice Theory
Mar 22, 2025 · Origins. 18th Century: The foundations of Rational Choice Theory can be traced back to Adam Smith, who, in his 1776 work “The Wealth of Nations ...
[12]
Rational Choice Theory explained - Toolshero
Mar 8, 2023 · Rational choice theory originated in the theories of the well-known thinker Adam Smith, and has since been applied in many diverse fields, as ...
[13]
Homo Economicus - Overview, Origin and Ethnology, Applications
The homo economicus model dominated different classical economics classes for a long period until criticisms arose from experimental economists and other social ...What is Homo Economicus? · Homo Economicus in Modern...
[14]
Sociological Theory: Rational Choice Theory | Research Starters
The best known example of rational choice theory is Adam Smith's theory of the division of labor from the introduction to the Wealth of Nations (1776), in which ...Missing: origins | Show results with:origins
[15]
Normative Theories of Rational Choice: Expected Utility
Aug 8, 2014 · Von Neumann and Morgenstern (1944) claim that preferences are defined over a domain of lotteries. Some of these lotteries are constant, and ...
[16]
Von Neumann–Morgenstern utility function | Definition & Facts
Oct 18, 2025 · During rational decision making, individuals will survey alternatives, evaluate consequences from each alternative, and finally do what they ...
[17]
Revealed preference theory | Economics & Consumer Behavior
Oct 15, 2025 · The theory entails that if a consumer purchases a specific bundle of goods, then that bundle is “revealed preferred,” given constant income and ...
[18]
Arrow's Theorem - Stanford Encyclopedia of Philosophy
Oct 13, 2014 · He argues that the impossibility theorem threatens the rationality of theory choice. See Morreau (2015) for a reason to think that it does ...
[19]
An Economic Theory of Democracy. By ANTHONY DOWNS ... - jstor
An Economic Theory of Democracy. By ANTHONY DOWNS. (New York: Harper & Bros. 1957. ... Under certainty, Downs apparently considers that democracy would escape.
[20]
[PDF] of democracy an economic theory
Downs assumes that political parties and voters act rationally in the pursuit of certain clearly specified goals-it is this assumption, in fact, that gives his ...
[21]
Rational-Choice Theories in Political Sociology (Chapter 8)
Third, we discuss the scope of rational choice theory, arguing that it will be useful for many but not all problems of interest to political sociologists.Missing: applications | Show results with:applications
[22]
[PDF] Crime and Punishment: An Economic Approach
They are willful homicide, forcible rape, robbery, aggravated assault, burglary, larceny, and auto theft. Page 10. GARY S. BECKER.
[23]
[PDF] Gary S. Becker - Prize Lecture
The amount of crime is determined not only by the rationality and preferences of would-be criminals, but also by the economic and social environment created by ...
[24]
Crime and Punishment: An Economic Approach Gary S. Becker - jstor
The more serious offenses are punished by a combination of probation, imprisonment, parole, fines, and various restrictions on choice of occupation. A recent ...
[25]
[PDF] Rational choice theory
3 Coleman's work showed that rational choice theories could explain the formation of voting coalitions within organizations, as individuals exchange support for ...
[26]
Rational choice theory in sociology - Taylor & Francis Online
Mar 6, 2008 · James Coleman attempted to reconcile rational choice theory with the classical sociological concerns: the relationship between the ...
[27]
James S. Coleman | American Sociological Association
May 22, 2025 · Rational choice theory has been the basis of eco nomics for the past two centuries, but Coleman used his sociological mind to adapt the theory ...
[28]
[PDF] Intricacies of Agency: Rational Choice, Behavioral Economics, and ...
May 17, 2023 · Rational choice theory can develop stronger predictive and explanatory capabilities if they integrate a more realistic psychological ...
[29]
Development of Behavioral Economics - NCBI - NIH
Behavioral economics draws on insights from social and cognitive psychology, sociology, and neuroscience to challenge some of the assumptions made in ...
[30]
Neuroeconomics: The neurobiology of value-based decision-making
Neuroeconomics is a relatively new discipline, which studies the computations that the brain makes in order to make value-based decisions.
[31]
Rational choice, neuroeconomy and mixed emotions - PMC
Neuroimagery used in combination with behavioural economics (neuroeconomics) has been used in order to try to disentangle the different emotional and rational ...
[32]
[PDF] Neuroeconomics and Rationality
These models allow for preference reversals, just as social choice theory shows that group decision making will not always lead to consistent choices.33 Even ...
[33]
[PDF] Rational Choice Explained and Defended Herbert Gintis
Mar 6, 2017 · The rational choice model expresses but does not explain individual prefer- ences. Understanding the content of preferences requires rather deep ...
[34]
Economist Herbert Gintis: Where New Economics Meets Old
Jun 22, 2016 · Evolutionary economics treats individuals as the product of their biological and social history, and so fits in well with behavioral economics.
[35]
[PDF] Reclaiming Parsons' Theory of Action Herbert Gintis
Aug 30, 2016 · Choice behavior can often be best modeled using the rational actor model, accord- ing to which individuals have a time-, state-, and social ...
[36]
None
### Definition and Assumptions of Rational Choice
[37]
Rational Choice Theory (Chapter 4) - Principles of Conflict Economics
Preferences. Rational choice assumes that preferences over alternatives are complete and transitive. Completeness means that when comparing any two ...
[38]
Deviations of rational choice: an integrative explanation of the ...
Oct 1, 2020 · People's choices are often found to be inconsistent with the assumptions of rational choice theory. Over time, several probabilistic models ...
[39]
[PDF] 0710 Rational Choice Theory In Law And Economics | FindLaw
Rational choice theory assumes consumers have transitive preferences and seek to maximize utility from those preferences, subject to constraints.
[40]
Rational Choice Theory in Political Decision Making
### Summary of Advantages of Rational Choice Theory in Political Decision Making
[41]
Instrumental Rationality - Stanford Encyclopedia of Philosophy
Feb 13, 2013 · Instrumental rationality, or some tendency toward it, is partly constitutive of intention, desire, or action.Rational Coherence and Reason · The Status of Instrumental...
[42]
Methodological Individualism - Stanford Encyclopedia of Philosophy
Feb 3, 2005 · It amounts to the claim that social phenomena must be explained by showing how they result from individual actions.Origins of the Doctrine · Austrian School and the... · The Rational Choice Revival
[43]
Rational Choice Theory and Methodological Individualism (Chapter 1)
Dec 3, 2020 · The RCA, also called structural or methodological individualism, claims that RCT can and should be applied to explain macro phenomena. After ...
[44]
The Case for Methodological Individualism - jstor
The Case for Methodological Individualism. JON ELSTER. How should Marxist social analysis relate to bourgeois social science? The obvious answer is: retain ...
[45]
[PDF] utility maximization and choice
Utility maximization is choosing the preferred option from available choices, given a budget constraint, to maximize utility. This is where the indifference ...
[46]
[PDF] Lecture 4 - Utility Maximization - MIT OpenCourseWare
This expression says that at the utility-maximizing point, the next dollar spent on each good yields the same marginal utility. thesis are zero. λ equals the “ ...
[47]
[PDF] economic applications of lagrange multipliers
Lagrange multipliers are used in economics for maximizing utility with wealth constraints, and as the rate of change of output with respect to a constraint. ...
[48]
[PDF] Constrained Optimization Survival Guide John H. Boyd III Utility ...
Utility Maximization. The standard consumer's problem is to maximize utility under a budget constraint. This is exactly the type of problem that Lagrange ...Missing: theory | Show results with:theory
[49]
[PDF] Chapter 6: Choice Under Uncertainty - Nolan H. Miller
A lot of the research that is currently going on is trying to determine how you can have an expected utility theory without the independence axiom. 6.1.2 The ...
[50]
[PDF] Chapter 3 Attitudes Towards Risk - MIT OpenCourseWare
rA (x) = −u x)/u/ (x) , which is also called Arrow-Pratt coefficient of absolute risk aversion. Note that u// measures the concavity of the utility function, ...
[51]
Risk Aversion
The measure ρ ( x ) = − v ″ ( x ) v ′ ( x ) is known as the Arrow-Pratt measure of risk aversion, and also as the measure of absolute risk aversion.
[52]
[PDF] Axiomatic Foundations of Expected Utility and Subjective Probability
Expected utility theory is a special instance of the theory of choice under objective and subjective uncertainty. In expected utility theory under objective ...
[53]
[PDF] Risk Aversion - Princeton University
Risk aversion is a concept behind modeling individual preferences in the face of risk, and is important in decision making under uncertainty.
[54]
Game Theory (Stanford Encyclopedia of Philosophy)
Below is a merged summary of the four segments on "Game Theory Extending Rational Choice Theory to Multi-Agent Interactions." To retain all information in a dense and organized manner, I’ve structured the response with a narrative overview followed by a detailed table in CSV format. The table consolidates key details across historical development, key concepts, applications, epistemic foundations, and useful URLs, ensuring no information is lost.
[55]
Game Theory | Internet Encyclopedia of Philosophy
Game theory belongs to a family of theories often subsumed under the umbrella term Rational Choice Theory. All these theories (in particular, decision theory, ...Dynamic Games · The Architecture of Game Theory · Game Theory as a Theory of...Missing: extensions | Show results with:extensions
[56]
https://press.princeton.edu/books/paperback/9780691130613/theory-of-games-and-economic-behavior
[57]
https://plato.stanford.edu/entries/nash-equilibrium/
[58]
[DOC] Rational Choice Theory: An Introduction
May 11, 2002 · Rational Choice Theory is an approach used by social scientists to understand human behavior. The approach has long been the dominant paradigm ...<|separator|>
[59]
https://www.tutor2u.net/economics/reference/underlying-assumptions-of-rational-economic-decision-making
[60]
[PDF] Downsian model of Elections - UC Irvine
In addition,. Downs offers insights into how voters decide when to seek information and into the role that information plays in voter choice. The Downsian model ...
[61]
Summary of Downs: An economic theory of democracy
He suggests that voters might turn out simply to support democracy, knowing that democracy cannot survive long with zero turnout.
[62]
[PDF] 'Rational' Theories of Voter Turnout: A Review
1 This con- stitutes the paradox of (not) voting. Arguing that this paradox constitutes the downfall of the rational choice theory or that electoral turnout is ...
[63]
How Anthony Downs's Analysis Explains Rational Voters ...
Sep 26, 2023 · According to Downs, voters in a democracy can choose to remain rationally ignorant, since their vote has virtually no marginal effect on the ...
[64]
Voter rationality: A retest of the Downsian model - ScienceDirect.com
Abstract. This article tests the model of voter rationality developed by Anthony Downs. Using data originally presented by Sanders (1980) and using log-linear ...
[65]
[PDF] What Is Public Choice Theory? - AIER
And in fact, the hypothesis that promised shifts in net wealth modify political behavior in predictable ways has not been readily falsifiable empirically.Missing: evidence | Show results with:evidence
[66]
[PDF] Ways of Criticizing Public Choice: The Uses of Empiricism and ...
The evidence shows that the criticism that public choice lacked empirical support was partly correct, and that the negative implications drawn from public ...
[67]
[PDF] A Critical Analysis of the Budget- Maximizing Model of Bureaucracy
Niskanen has argued that if government bureaus act so as to maximize their budgets, they will always produce an output greater than a private industry,.
[68]
[PDF] AN EMPIRICAL INVESTIGATION OF PUBLIC CHOICE THEORY
These results tend to provide evidence that refutes the public choice view that regulation occurs and continues in response to the benefits that narrowly ...
[69]
https://oxfordre.com/politics/display/10.1093/acrefore/9780190228637.001.0001/acrefore-9780190228637-e-1461
[70]
Theoretical and Empirical Approaches to Public Choice - Frontiers
Tying decentralization and income redistribution to fight corruption: Empirical evidence from developed and developing countries.
[71]
Rational Choice Institutionalism - Oxford Academic
This article discusses the institutional arrangements of rational choice institutionalism, as well as the patterns and regularities that they produce.
[72]
The Logic of Collective Action - Harvard University Press
Jan 1, 1971 · This book develops an original theory of group and organizational behavior that cuts across disciplinary lines and illustrates the theory with empirical and ...
[73]
https://www.econlib.org/library/Enc/bios/Olson.html
[74]
Understanding Arrow's Impossibility Theorem: Definition, History ...
Aug 23, 2025 · Arrow's impossibility theorem is part of social choice theory, which studies how a society can reflect individual preferences. It became an ...
[75]
[PDF] The Evolution of Cooperation*
Each has two choices, namely “cooperate” or “defect.” The game is called the Prisoner's Dilemma because in its original form two prisoners face the choice of ...
[76]
[PDF] Samuelson's Approach to Revealed Preference Theory - NET
Samuelson. (1938) introduced the weak axiom of revealed preference (WARP), which provides a test of the simplest form of the utility maximization hypothesis: if ...
[77]
[PDF] Revealed Preference
Sep 20, 2006 · As. Samuelson [1950] put it, “He has given us the long-sought test for integrability that can be formed in finite index-number terms, without ...
[78]
Revealed preference theory — much ado about almost nothing
Oct 6, 2020 · The introduction of Houthakker's amendment assured integrability, and by that, the theory had according to Samuelson been “brought to a close” ( ...
[79]
[PDF] Vernon L. Smith - Nobel Lecture
The two types of rational order are both expressed in the experimental methodology developed for economic systems design. This branch of experi- mental ...Missing: validation | Show results with:validation
[80]
https://oxfordre.com/politics/display/10.1093/acrefore/9780190228637.001.0001/acrefore-9780190228637-e-79
[81]
The Empirical Content of Rational Choice Theory - Gary W. Cox, 1999
Second, there is empirically confirmed content specific to rational choice theory, enough to make it the vital and exciting research program that it is. Third, ...Missing: validation | Show results with:validation
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[PDF] VOTING AS A RATIONAL CHOICE - Columbia University
As the stakes and importance of the election increase (say, because candidates are farther apart on the issues or because it is a presidential election), more ...
[83]
The Spectrum Auction: How Economists Saved the Day
Aug 19, 2016 · The U.S. Treasury is over $100 billion richer thanks to the FCC's auctions, and governments around the world have come to embrace this ...
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Building economic machines: The FCC auctions - ScienceDirect.com
Rational Choice Technology ... The FCC auctions were a success. They were successful not just politically30 but also from a scientific viewpoint. They provided a ...
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[PDF] Spectrum Auctions by the United States Federal Communications ...
The high level of success achieved by the FCC in their auction program over the years can likely be traced back to their willingness to work with experts on ...
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[PDF] Lessons Learned from Three Decades of Experience with Cap-and ...
The cap-and-trade system created incentives to find ways to reduce SO2 emissions at the lowest cost. Although government auctioning of allowances would have ...
[87]
The US sulphur dioxide cap and trade programme and lessons for ...
Aug 12, 2012 · The US sulphur dioxide cap-and-trade programme, aimed at the acid rain problem, has been hailed as a great success in almost all areas.Missing: rational empirical
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[PDF] Choosing an Identity - University of Hawaii System
rational choice with a combination of generality and predictive power not ... Another advantage of rational choice models is their parsimony. The ...
[89]
[PDF] A Behavioral Model of Rational Choice Author(s): Herbert A. Simon ...
A BEHAVIORAL MODEL OF RATIONAL CHOICE. By HERBERT A. SIMON*. Introduction, 99.- I. Some general features of rational choice, 10. II. The essential ...
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Bounded Rationality - jstor
Herbert A. Simon [1957] introduced the concept of bounded rationality more than thirty years ago. He proposed to replace the idea of utility maximiza-.
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The Allais paradox: what it became, what it really was, what it now ...
Jan 30, 2019 · We study the paradox from an historical perspective and link our findings to a suggestion as to how decision theory could make use of it today.
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[PDF] Prospect Theory: An Analysis of Decision under Risk - MIT
BY DANIEL KAHNEMAN AND AMOS TVERSKY'. This paper presents a critique of expected utility theory as a descriptive model of decision making under risk, ...
[93]
Prospect Theory: A Bibliometric and Systematic Review in the ... - NIH
Oct 20, 2022 · One of Kahneman and Tversky's key insights was that the way risky decisions are framed influences what is selected, and it does so in a way ...3. Results · Appendix A · Table A2
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[PDF] The anchoring bias reflects rational use of cognitive resources
Apr 2, 2017 · Abstract. Cognitive biases, such as the anchoring bias, pose a serious challenge to ra- tional accounts of human cognition.
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Frames, Biases, and Rational Decision-Making in the Human Brain
We found that the framing effect was specifically associated with amygdala activity, suggesting a key role for an emotional system in mediating decision biases.
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Cognitive Biases: Mistakes or Missing Stakes? - MIT Press Direct
Jul 11, 2023 · We test the effect of incentives on four widely documented biases: base-rate neglect, anchoring, failure of contingent thinking, and intuitive reasoning.
[97]
[PDF] Examining Evidence for a Taxonomy of Cognitive Biases - DTIC
Research on cognitive heuristics and biases has amassed strong evidence that human beings systematically use mental shortcuts that affect the quality of ...
[98]
[PDF] Economic Action and Social Structure: The Problem of Embeddedness
The notion that rational choice is derailed by social influences has long discouraged detailed sociological analysis of economic life and led revisionist ...
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[PDF] Economic Action and Social Structure: The Problem of Embeddedness
Sep 22, 2003 · More recent comments by economists on "social influences" construe these as processes in which actors acquire customs, habits, or norms that are ...
[100]
[PDF] On the Limits of Rational Choice Theory - Economic Thought
Without logical contradiction, one can abandon payoff rationality and still uphold that behaviour is consistent, and even utility-maximizing. Herbert Gintis ( ...Missing: extensions | Show results with:extensions
[101]
[PDF] Path Dependence, its critics, and the quest for 'historical economics'
The concept of path dependence refers to a property of contingent, non-reversible dynamical processes, including a wide array of biological and social ...
[102]
[PDF] “Social Embeddedness” Viewed from an Institutional Perspective
critique of rational-choice theorists concerning the difficulties of normative sociology to link actors and situational factors and especially its difficulties ...
[103]
(PDF) Rational Choice and the Problem of Institutions. A discussion ...
The paper presents what is perceived as core elements of rational choice theory, and focus is on new institutionalism in particular. General perspectives are ...
[104]
Pathologies of Rational Choice Theory: A Critique of Applications in ...
This is the first comprehensive critical evaluation of the use of rational choice theory in political science.
[105]
Methodological Individualism and Rational Choice in Neoclassical ...
Jan 28, 2011 · This review article is an attempt to take a critical look at methodological individualism and rational choice that form the hard core of ...
[106]
Revisiting the criticisms of rational choice theories - Compass Hub
Dec 21, 2021 · Theories of rational choice are arguably the most prominent approaches to human behaviour in the social and behavioral sciences.THE DIVERSITY OF... · FIVE CATEGORIES OF... · NEW RESEARCH TRENDS IN...
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Pathologies of Rational Choice Theory - Yale University Press
Free 20-day returnsIn their hard-hitting critique, Green and Shapiro demonstrate that the much heralded achievements of rational choice theory are in fact deeply suspect and that ...
[108]
The methodology of positive economics (1953) - ResearchGate
This trajectory has evolved from Friedman's formulation of “as-if” rationality, in which the predictive power of models was privileged over their ...
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[PDF] The Methodology of Positive Economics: Reflections on the Milton ...
... Friedman is making is discussed under the label of as-if rationality, or of as-if maximizing (Kandori 1997). The ultimate claim Friedman is making is ...
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Useful Fiction or Miracle Maker: The Competing Epistemological ...
Dec 29, 2003 · Using instrumental assumptions such as as-if rationality to create universal theories violates the status of theory in instrumental-empiricist ...
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[PDF] An Intellectual History of Corporate Finance Theory
survives if the market behaves “as if” rationality prevailed. One mechanism for this is arbitrage, where savvy investors invest in the market in such a way.
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Learnable Mixed Nash Equilibria are Collectively Rational - arXiv
Thus we observe a dichotomy between dynamics around strict and mixed Nash equilibria under the context of 'as if' rationality (Friedman, 1953; Weibull, 1994) .
[113]
Defending Instrumental Rationality against Critical Theorists
Sep 30, 2020 · Instrumental rationality is about picking means to ends. Without a way of life, without ends, we cannot pick means to them; we cannot be ...
[114]
Becker random behavior and the as-if defense of rational choice ...
... Individual decisions must be optimal, decisions ought to follow certain mathematical axioms to be rational; individuals are portrayed as economic agents who ...
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[PDF] Instrumental Rationality - PhilArchive
It is often suggested that instrumental rationality might be all of practical rationality – that to be rational in respect of one's actions is just to be ...
[116]
[PDF] What Do Laboratory Experiments Tell Us About the Real World?
Sep 20, 2005 · List (2005) also provides a different form of evidence on the role of context. List began by having sportscard traders play standard gift ...
[117]
Does Market Experience Eliminate Market Anomalies? The ... - jstor
USING FIELD EXPERIMENTS IN ENVIRONMENTAL. AND RESOURCE ECONOMICS^. Does Market Experience Eliminate Market Anomalies? The Case of Exogenous Market Experience.<|separator|>
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[PDF] PAY ENOUGH OR DON'T PAY AT ALL - Rady School of Management
URI GNEEZY AND ALDO RUSTICHINI. Economists usually assume that monetary incentives improve performance, and psychologists claim that the opposite may happen ...
[119]
[PDF] NBER WORKING PAPER SERIES FIELD EXPERIMENTS IN ...
This study presents an overview of modern field experiments and their usage in economics. Our discussion focuses on three distinct periods of field ...
[120]
[PDF] What Do Laboratory Experiments Tell Us About the Real World?
Jun 27, 2006 · Yet, it is possible that anomalous behavior is even greater in the field than in the lab due ... The Winner's Curse: Paradoxes and Anomalies of ...
[121]
[PDF] The promise and success of lab-field generalizability in ...
Dec 30, 2011 · Some evidence thus far suggests that behavioral anomalies are less pronounced than was previously observed in the lab [List, 2006; Figure 1].
[122]
Bounded Rationality - Stanford Encyclopedia of Philosophy
Nov 30, 2018 · Bounded rationality has come to encompass models of effective behavior that weaken, or reject altogether, the idealized conditions of perfect ...Homo Economicus and... · The Emergence of Ecological... · Better with Bounds
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(PDF) Herbert A. Simon and the concept of rationality - ResearchGate
Aug 7, 2025 · This paper discusses Herbert A. Simon's conception of rationality in two of its principal general definitions: bounded rationality and procedural rationality.
[124]
Emotional arousal as a source of bounded rationality - ScienceDirect
In this paper I suggest an additional source of bounded rationality that arises from insufficient or excessive emotional arousal.
[125]
Emotions as a mechanism for boundedly rational agents: The fast ...
Integrating emotions into the BR framework could illuminate the underlying mental processes that govern human decision making. Emotions, we argue, play a ...Missing: incorporating | Show results with:incorporating
[126]
Emotion, rationality, and decision-making: how to link affective and ...
In rational choice theory, an individual's choices are only strategically affected by those of others. In other words, people's preferences are not supposed to ...
[127]
[PDF] Emotion and Decision Making | Scholars at Harvard
Unlike valence-based models, the ATF predicts that emotions of the same valence (such as fear and anger) can exert opposing influences on choices and judgments ...Missing: extensions | Show results with:extensions