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KOF Globalisation Index

The KOF Globalisation Index is a composite measure developed and published annually by the KOF Swiss Economic Institute at , quantifying the extent of globalization in 190 countries across economic, social, and political dimensions using a scale from 1 to 100, with data spanning from 1970 onward. Originally conceived by economist Axel Dreher in 2006, the index aggregates 42 variables that distinguish between indicators of actual international flows and interactions (such as volumes and personal contacts) and measures of policies and institutional frameworks (such as restrictions and membership in international organizations). , the index's largest component, evaluates openness, financial integration via and portfolio flows, and related restrictions; social globalization assesses interpersonal contacts (e.g., and ), information flows (e.g., usage), and cultural exchanges (e.g., in cultural goods); while political globalization gauges involvement in international NGOs, embassies abroad, and treaties. The index employs time-varying weights to reflect evolving global patterns, ensuring adaptability to structural shifts like rising financial interdependence, and has documented a general upward trend in globalization since the 1970s, accelerating after the but with recent stagnation in political dimensions amid geopolitical tensions. A major revision in expanded variables from 23 to 42, separated trade and financial sub-indices, and emphasized bidirectional causal links between flows and policies, enhancing its empirical robustness for cross-country comparisons and time-series analysis. In the latest data, the global average index value reached 60.80, signaling recovery toward pre-COVID-19 levels driven by rebounding economic trade in , though financial globalization weakened due to reduced investment stocks relative to GDP and social globalization lagged in areas like tourism. Highly globalized nations such as the (index value near 90) and consistently rank at the top, reflecting dense trade networks and cultural openness, while deglobalization episodes—like Russia's sharp decline from sanctions—highlight the index's sensitivity to policy shocks. Widely cited in academic research for its multidimensional approach, the index provides evidence-based insights into 's drivers and uneven distribution, countering narratives of uniform decline with data showing persistent, if regionally varied, integration.

Overview

Definition and Purpose

The KOF Globalisation Index is a composite measure developed by the KOF Swiss Economic Institute at that quantifies the extent of across economic, social, and political dimensions for nearly every country worldwide. It aggregates data from 42 variables, scaled on a 1-100 basis, to produce overall and sub-index scores, distinguishing between de facto —reflecting actual cross-border flows such as volumes, rates, and international treaties ratified—and de jure , which captures policy orientations like levels, restrictions, and participation in international organizations. The index's primary purpose is to enable systematic tracking of globalization trends over time, with annual data available from 1970 to across up to 195 countries, allowing for longitudinal analysis of how interconnectedness evolves in response to events like trade liberalization or geopolitical shifts. By providing a standardized, multidimensional framework, it facilitates into 's causal effects, such as its associations with , , or institutional changes, as demonstrated in studies revisiting the index's construction to refine variable weights via . Originally introduced by economist Axel Dreher in , the index addresses limitations in prior metrics by incorporating both quantitative flows and qualitative policies, thereby offering policymakers and scholars a robust tool for evidence-based assessments rather than relying on singular proxies like trade-to-GDP ratios. Its revisions, such as those in , emphasize transparency in aggregation methods to enhance reliability for cross-country comparisons and hypothesis testing on 's real-world outcomes.

Core Dimensions

The KOF Globalisation Index comprises three core dimensions—economic, social, and political globalisation—each capturing distinct aspects of international integration. These dimensions are aggregated using to form sub-indices, which are then combined into an overall index with equal weights, distinguishing between measures of actual flows and activities and measures of policies and formal commitments. Economic globalisation assesses the intensity of cross-border economic linkages, subdivided into trade and financial globalisation sub-indices. The trade sub-index includes de facto variables such as in as a of GDP and trade partner diversification (measured via the inverse Herfindahl-Hirschman index), alongside de jure elements like tariffs, trade taxes as a of , and non-tariff barriers including costs. Financial globalisation incorporates de facto indicators like stocks, , international debt, and income payments as percentages of GDP, with de jure proxies such as investment restrictions and capital account openness indices (e.g., Chinn-Ito index). This dimension reflects both actual economic exchanges and the regulatory frameworks facilitating them, with data standardized to account for country size differences. Social globalisation evaluates interpersonal, informational, and cultural exchanges, divided into three sub-indices. Personal contacts cover metrics like international voice traffic minutes , remittances , as a percentage of population, and stocks, plus factors such as requirements, subscription rates, and international airports . Information flows include patent applications and international students , and measures like users, press freedom, and bandwidth . Cultural proximity tracks trade in cultural goods, applications, and presence of global brands (e.g., restaurants or stores ), with indicators including television penetration, education expenditure, and in schooling. These elements quantify the diffusion of ideas, , and cultural artifacts beyond national borders. Political globalisation measures the degree of international political engagement, encompassing de facto participation such as the number of embassies in a , personnel in UN missions per capita, and memberships in international NGOs, alongside de jure commitments like the number of memberships, treaties ratified since 1945, and partners. Unlike the other dimensions, it lacks explicit sub-indices but emphasizes formal diplomatic networks and supranational involvement, capturing how states embed themselves in structures.

History

Origins at KOF Swiss Economic Institute

The KOF Globalisation Index was developed at the KOF Swiss Economic Institute, an applied economic research unit affiliated with , to quantify the multifaceted nature of globalization through empirical indicators spanning economic, social, and political domains. The index's creation addressed a gap in prior measures, such as the Center for the Study of Globalisation and Regionalisation's index covering 1982–2004, by incorporating a broader set of variables and distinguishing between actual flows () and policy stances (). Economist Axel Dreher, then affiliated with KOF, conceived and constructed the initial version of the index, which was first published in 2002 and provided data for 122 countries from 1970 onward. This inaugural release emphasized economic globalization through trade and capital flows, while laying groundwork for later inclusions of social and political aspects, reflecting KOF's focus on data-driven analysis of international integration. The index's formal academic introduction followed in Dreher's 2006 peer-reviewed paper, which empirically tested its relationship to economic growth using the 1970–2000 dataset, confirming positive associations after controlling for endogeneity. Early iterations aggregated 23 variables into sub-indices, weighted by principal component analysis to avoid arbitrary assignments, ensuring the measure's robustness against subjective biases in globalization assessment. KOF's institutional resources, including access to global datasets from sources like the World Bank and IMF, enabled this pioneering effort, positioning the index as a standard for cross-country comparisons.

Major Revisions and Updates

The KOF Globalisation Index underwent its first significant update in , as detailed in Dreher et al.'s analysis, which refined variable selection and aggregation while maintaining the original structure introduced in , covering data from onward for over 200 countries. This update incorporated additional data sources and minor adjustments to weights but did not alter core dimensions or introduce new measurement distinctions. A major methodological overhaul occurred in 2019, published by Gygli et al., expanding the index from 23 to 43 variables and distinguishing between de facto measures (reflecting actual international flows and activities, such as volumes and stocks) and de jure measures (capturing policies and institutional conditions, like rates and international memberships). This revision disentangled the economic dimension into separate and financial sub-indices, with encompassing flows and restrictions (e.g., , non-tariff barriers) and finance including openness and international investment agreements. The social dimension was broadened to include cultural proximity indicators, such as in cultural goods and international applications, replacing outdated proxies like international mail flows. Aggregation methods were also revised to use time-varying weights derived from over 10-year rolling windows, allowing the index to adapt to evolving patterns in data rather than relying on fixed weights from earlier versions. These changes enhanced the index's granularity and responsiveness, enabling separate tracking of policy-driven (de jure) versus outcome-based (de facto) , with initial coverage extended to and annual data updates thereafter. No further structural overhauls have been documented since 2019, though the KOF Swiss Economic Institute continues yearly refinements to incorporate new data, ensuring consistency in the revised framework.

Methodology

Sub-indices and Variable Selection

The KOF Globalisation Index is structured around three core dimensions—economic, , and —with variables aggregated into sub-indices measuring actual cross-border flows and interactions, and sub-indices capturing policies, regulations, and institutional frameworks that facilitate or restrict . The revised methodology, implemented in the 2018 update and detailed in Gygli et al. (2019), employs 43 individual variables organized into five principal sub-indices: trade and financial flows under economic ; interpersonal, informational, and cultural exchanges under ; and political engagement as a distinct dimension primarily emphasizing elements like treaties alongside limited indicators such as embassy networks. This structure allows for granular assessment while enabling aggregation to overall dimension scores and a composite index. Economic globalization sub-indices focus on trade (de facto variables including exports and imports of goods and services as percentages of GDP, and trade partner diversification to account for network breadth) and financial integration (de facto measures like inward and outward foreign direct investment stocks relative to GDP, portfolio investment, and international investment positions; de jure elements such as the Chinn-Ito financial openness index and investment restrictions). Social globalization sub-indices encompass interpersonal contacts (de facto indicators like personal international voice traffic, student and migrant flows adjusted for population), informational flows (de facto international internet bandwidth and de jure press freedom indices), and cultural proximity (de facto trade in cultural goods, student exchanges, and indicators of global cultural consumption such as IKEA and McDonald's outlets per capita). Political globalization, treated as a single sub-index, integrates de jure variables on participation in international organizations (e.g., UN missions, treaty memberships) and de facto embassy presence abroad, reflecting diplomatic interconnectedness without heavy reliance on flows due to the dimension's policy-centric nature. Variable selection prioritizes empirical relevance to multi-continental linkages, excluding purely regional interactions to isolate true effects, and incorporates size adjustments (e.g., flows normalized by GDP or ) to ensure comparability across . Criteria emphasize causal proxies for , such as diversification indices to capture partner spread beyond mere volume, while reclassifying certain original variables (e.g., from de facto to de jure) for conceptual accuracy; data availability and time-series consistency guide inclusions, drawing from sources like the , IMF, and bilateral matrices for robustness. This approach, refined from the original 2002 index's 23 variables, enhances transparency and reduces multicollinearity through in aggregation.

De Facto Versus De Jure Measurement

The KOF Globalisation Index incorporates a distinction between de facto and measurements to separately quantify actual international flows and the enabling policy frameworks, recognizing that legal openness does not always translate into realized activity due to factors such as enforcement gaps, economic constraints, or geopolitical barriers. globalization captures observable cross-border interactions, such as trade volumes or migrant stocks, while de jure globalization evaluates formal institutions, including tariff schedules or treaty ratifications. This bifurcation, implemented in the index's 2018 revision, permits the construction of parallel sub-indices for economic, social, and political dimensions, with the overall index derived as the unweighted average of the and aggregates. In the economic dimension, indicators include exports and imports of as percentages of GDP, along with gross inflows and outflows of (FDI) relative to GDP, stocks, and international investment income flows; these metrics directly gauge transactional intensity. Conversely, economic measures assess policy-induced openness, such as mean rates on imports, prevalence of taxes on international , and the number of agreements or currency unions in effect, which reflect regulatory barriers or facilitators without necessarily implying equivalent activity levels. The social dimension applies the distinction to interpersonal connectivity: de facto variables encompass international voice telephone traffic, outbound tourism expenditures relative to GDP, and the stock of immigrants and foreign population as shares of total population, indicating empirical cross-border exchanges. De jure social globalization proxies policy environments through indicators like mobile phone subscriptions per 1,000 people and internet users per 1,000 people, which signal infrastructural and regulatory preconditions for global integration, though they may overestimate potential if adoption lags due to socioeconomic factors. For the political dimension, measures track participation in international activities, including the number of embassies hosted, personnel contributions to UN Security Council missions, and memberships in international non-governmental organizations (INGOs). political indicators focus on institutional commitments, such as ratifications of international treaties on peacekeeping, environmental protection, human rights, and trade, alongside participation in international organizations, highlighting formal alignment over substantive engagement. This separation addresses empirical evidence that openness correlates differently with outcomes like growth compared to flows, as policies may create latent potential unrealized amid domestic resistance or external shocks.

Data Sources and Aggregation Process

The KOF Globalisation Index draws on data from a range of organizations and databases to construct its 43 variables, covering the period from 1970 to 2021 for up to 195 countries. Economic variables primarily source from the World Development Indicators (WDI) for trade flows, services, and income payments; the IMF's Direction of Trade Statistics (DOTS) and Statistics (BOPS) for partner diversity and cultural services; Lane and Milesi-Ferretti's external wealth of nations and IMF International Investment Position (IIP) for FDI, , and debt; and UNCTAD for investment agreements and treaty partners. Social variables include (ITU) data for voice traffic, internet bandwidth, and subscriptions; WDI for tourism, students, transfers, patents, high-tech exports, television access, and ; Czaika et al.'s estimates and IATA for and policies; ICAO for airports; UN for cultural goods; and and corporate reports for restaurant and store counts. Political variables rely on the World Yearbook for embassies, UN peacekeeping data, Yearbook of International Organizations for NGOs, CIA World Factbook for intergovernmental organizations, and Treaty Collection for treaties. De jure variables incorporate indices like Gwartney et al.'s for trade and investment regulations, Chinn-Ito for capital account openness, and for press freedom and civil liberties. Variables are distinguished as (measuring actual flows and interactions, such as volumes or stocks) or (capturing policies and institutional openness, such as tariff rates or treaty memberships), with the revised 2018 methodology explicitly separating these to better reflect both realized and potential . Data imputation addresses missing values using or nearest available observations, ensuring continuity across . In the aggregation process, individual variables are first normalized to a 1–100 scale via panel normalization, where each observation is ranked by relative to the maximum value observed across all countries and years in the sample, allowing for time- and country-specific scaling without assuming stationarity. Weights for variables within each of the five sub-dimensions ( and financial under economic; interpersonal, informational, and cultural under ; and a single political dimension) are derived dynamically using polychoric () applied to a 10-year rolling window of data, capturing evolving correlations and emphasizing explanatory variance over fixed geometric means from prior versions. Sub-indices are computed as weighted sums of their constituent variables; these are then equally weighted and averaged to form the three main dimensions (economic, , political), with the economic dimension treating and financial sub-indices at 50% each. and indices are aggregated separately following this hierarchy, and the overall KOF Globalisation Index is the simple unweighted average of the and totals, yielding a composite score from 1 to 100. This bottom-up approach, revised in from the original 2002 index's 23 variables and static weights, enhances adaptability to structural shifts like financial while maintaining through published variable definitions and availability on the KOF website.

Key Findings

The KOF , which quantifies across economic, , and political dimensions on a scale from 0 to 100, has exhibited a sustained upward trend in its global average since 1970, indicating progressively deeper international integration. The world average stood at approximately 38.4 points in 1970, rising to 41.8 by 1980 and 43.6 by 1990, with acceleration following the Cold War's end, driven by expanded trade liberalization, capital flows, and multilateral agreements. By 2020, the average had reached around 65 points, reflecting cumulative effects of technological advancements, reduced barriers, and rising cross-border interactions, though coverage varies by country and year due to data availability. Economic globalization, encompassing trade, investment, and financial flows, has shown the most pronounced long-term growth, with de facto measures like exports and (FDI) inflows expanding markedly post-1990 amid WTO expansions and globalization. Social globalization, tracked via personal contacts, information flows, and cultural exchanges, has paralleled this rise, fueled by surges and connectivity, though de jure restrictions in some nations tempered absolute gains. Political globalization, measured by participation in international organizations and memberships, increased steadily from the 1970s, peaking in the early 2000s as supranational bodies proliferated, but has since plateaued in some regions due to assertions.
DecadeApproximate World Average KOF Index
1970s38–42
1980s42–45
1990s45–50
2000s50–55
2010s55–62
2020s (to 2022)62–65
This table illustrates the index's monotonic increase, with no sustained global reversals until potential recent disruptions like geopolitical tensions, underscoring globalization's resilience over five decades despite periodic shocks such as oil crises or financial meltdowns. The trends hold across most countries, though low-income nations lag, highlighting uneven diffusion.

Recent Developments and Post-Pandemic Recovery

The KOF Globalisation Index experienced a decline during the height of the in 2020, followed by a moderate rebound in 2021, though the overall global index remained below pre-pandemic 2019 levels due to persistent disruptions in , , and . Economic globalisation showed early signs of recovery in 2021, driven by de increases in merchandise amid post-lockdown consumer demand for , while lagged and financial integration weakened from . Social globalisation, however, declined slightly in 2021, with stagnation in , personal contacts, and offset partially by growth in digital connectivity. Political globalisation continued a pattern of moderate expansion, supported by de measures such as participation in organizations. By 2022, the index indicated a stronger recovery trajectory, approaching pre-2019 peaks as restrictions eased globally. Economic globalisation led the resurgence, with robust growth in trade flows for alongside rising , reflecting revitalized supply chains and investment confidence. Social globalisation improved modestly through enhanced international agreements and cross-border exchanges, though it stayed below 2019 benchmarks amid lingering effects on mobility and cultural interactions. Political globalisation, in contrast, stagnated, hampered by reductions in diplomatic engagements and heightened geopolitical frictions, such as those following Russia's invasion of , which contributed to sharper declines in countries like due to sanctions and withdrawals. These post-pandemic developments underscore a uneven recovery, with economic dimensions rebounding faster than social or political ones, influenced by both policy reopenings and external shocks like trade policy shifts and conflicts. While the overall trend points to resilience in global interdependencies, full restoration to pre-COVID trajectories remains contingent on sustained and geopolitical .

Country Rankings and Variations

The KOF Globalisation Index consistently ranks small, open European economies at the top of overall globalisation scores, reflecting high levels of , , and cross-border flows. In the 2022 dataset, the achieved the highest overall score of 89.72 out of 100, followed closely by other Western European nations such as (89.58) and (88.90). These rankings underscore the index's emphasis on measures like volumes and actual patterns, where proximity to major markets and institutional openness amplify scores. At the opposite end, recorded the lowest score of 30.26, attributable to limited international , political instability, and minimal cultural exchanges, highlighting how and geographic constrain globalisation.
RankCountryOverall Score (2022)
189.72
289.58
388.90
487.95
587.69
.........
Last30.26
Regional variations reveal stark disparities, with averaging scores above 85, driven by dense intra-regional trade and integration, while lags with averages below 50 due to structural barriers like poor and challenges. shows mixed performance, where export-oriented economies like excel in economic globalisation (often topping sub-indexes with scores near 95), but larger nations such as rank lower overall (around 63-70) owing to substantial domestic markets that reduce relative international dependence. , exemplified by the (scores typically 75-80), underperforms relative to because the index prioritizes cross-border flows over internal economic scale, penalizing vast domestic interactions. Sub-index variations further differentiate rankings: economic globalisation favors trade hubs like and , social globalisation elevates culturally open nations such as (highest in 2022 at around 93 for personal contacts and information flows), and political globalisation benefits countries with extensive international treaties, like those in . Over time, rankings have remained stable for leaders, with minor fluctuations post-2008 and COVID-19 disruptions, where de facto scores dipped temporarily but de jure measures (e.g., policy openness) held steady, indicating resilience in institutional commitments despite reduced actual flows. These patterns affirm the index's sensitivity to empirical integration metrics rather than nominal policies alone.

Applications and Impact

Role in Economic Research

The KOF Globalisation Index has become a standard empirical tool in economic research for quantifying the multifaceted nature of , particularly through its distinction between measures of actual flows (such as volumes and FDI stocks) and measures of policies (such as rates and openness). Introduced by Dreher in 2006 to empirically test 's impact on across countries, the index facilitated analyses showing positive associations between higher scores and GDP growth, controlling for factors like and . The revised 2019 version by Gygli et al. enhanced data coverage to 1970–2017 for over 200 countries, enabling researchers to re-examine these links with improved aggregation techniques that normalize variables and apply for sub-indices. This update revealed that economic robustly promotes growth in high-income economies, while financial exhibits conditional effects depending on institutional quality. In studies of income inequality, the index serves as a key covariate in cross-country regressions, with economic sub-indices often proxying integration's distributive consequences. For instance, KOF research using the economic globalization component finds it correlates with a declining middle-class income share in advanced economies, attributing this to skill-biased technological diffusion and offshoring amplified by trade openness. Broader meta-analyses employing the KOF index across datasets confirm heterogeneous effects: while overall globalization may exacerbate inequality in developing contexts via financial flows, trade globalization tends to equalize incomes in labor-abundant nations through export-led opportunities. Researchers have also interacted KOF scores with ethnic fractionalization indices to model growth divergences, finding that de jure financial openness mitigates fractionalization's negative growth impacts by fostering institutional reforms. The index's role extends to robustness checks and comparative analyses, as highlighted in Potrafke's 2015 survey of evidence, which underscores its frequent use in models and instrumental variable approaches to address , such as leveraging historical routes as instruments. Regional applications, like re-estimations for South American economies, leverage time-varying KOF to isolate post-liberalization growth spurts, revealing that and political globalization sub-indices moderate economic gains by enhancing mobility. Its annual updates and disaggregated structure position it as a for in debates, though researchers note the need for complementary micro-level to validate macro patterns.

Influence on Policy and Trade Debates

The KOF Globalisation Index has informed policy discussions by providing empirical measures of trade openness, including tariffs, non-tariff barriers, and agreements, which policymakers use to evaluate the effects of on economic outcomes. For example, international organizations like the (IMF) have cited the index in working papers assessing how influences fiscal consolidation and , highlighting its role in quantifying trade policy-induced changes. Similarly, the World Bank's analyses of global integration during the reference the index to argue for sustained openness to mitigate economic fallout, underscoring its utility in advocating against protectionist reversals. In trade debates, the index's economic sub-index, particularly its trade globalization component, has been invoked to counter narratives of inevitable amid rising tariffs and disruptions since 2018. The World Trade Organization's (WTO) 2017 World Trade Report employs the KOF index to explore how interacts with labor market adjustments and welfare policies, informing arguments for balanced trade liberalization that addresses distributional effects. Recent analyses, such as those in , leverage the index's data showing resilient trade flows despite geopolitical shocks to challenge deglobalization pessimism and support multilateral trade frameworks. European Commission documents further utilize the index to link trends with , guiding EU trade policy toward measures that enhance competitiveness without exacerbating disparities. Overall, while primarily an academic tool, the index's annual updates on post-pandemic recovery—revealing a 2023 global score still 2.5% below 2008 peaks—have shaped debates on reversing trade fragmentation, with citations in and research emphasizing causal links between openness and resilience.

Criticisms and Limitations

Methodological Critiques

The KOF Globalisation Index employs () to derive weights for its sub-indices and variables, a method that partitions variance to maximize but has been criticized for adding interpretive complexity without commensurate gains in robustness or theoretical fidelity, particularly when variable sets are limited or multicollinear. This approach requires a minimum number of variables per subcategory to avoid instability, prompting the exclusion or aggregation of certain indicators, which can obscure the relative importance of distinct facets. Panel normalization, used to standardize variables across time and countries, introduces distortions in longitudinal comparisons, as shifts in any single year's data recalibrate the entire baseline, potentially amplifying outliers or transient events. The index's handling of through imputation or exclusion further compounds sensitivity to incomplete datasets, especially for less-developed countries where reporting lags persist, leading to underrepresentation of actual integration levels. Variable selection has faced scrutiny for conceptual shortcomings, notably in the social dimension, where proxies like the presence of or outlets prioritize quantifiable Western commercial penetration over bidirectional cultural exchanges or non-Western influences, effectively measuring rather than per se. Economic indicators similarly overlook intensities, densities, or geographic constraints—such as landlocked status or bilateral distances—resulting in inflated scores for canal-reliant economies like relative to larger, diversified traders like the . Aggregation into de facto and components, while distinguishing actual flows from policy stances, inherits broader methodological by framing through state-centric lenses, neglecting supra-territorial processes like transnational or digital interconnectivity that transcend national boundaries. The equal weighting of economic, , and political dimensions post-PCA—despite economic and often dominating at 38-39% of variance—imposes arbitrary , potentially underweighting political in contexts where it drives long-term . These elements collectively limit the index's capacity to capture 's causal depth, favoring observable inputs over outcome-oriented metrics like spillovers or to shocks.

Debates on Globalization Measurement

Scholars debate the conceptualization and of in composite indices like the KOF Globalisation Index, questioning whether they adequately distinguish from mere or . Critics argue that many indices, including early versions of KOF, prioritize economic flows such as and FDI without sufficiently accounting for qualitative aspects like network densities or beyond Western-centric proxies. For instance, the KOF index's cultural dimension has faced accusations of measuring rather than universal , prompting revisions to incorporate broader indicators like in cultural goods. A central methodological contention involves aggregation techniques, where the KOF index employs (PCA) with time-varying weights derived from rolling 10-year windows to combine 43 variables across economic, social, and political dimensions. This approach aims to reflect evolving patterns but draws criticism for opacity in weighting and sensitivity to methods—panel normalization versus annual—which can significantly alter country rankings and obscure underlying causal dynamics. Opponents contend that PCA's statistical derivation favors data-rich variables, potentially biasing results toward countries with better reporting, while failing to adjust for structural factors like geographical distances or intensities, leading to claims that such indices measure openness rather than interconnectedness. The distinction between (actual flows, e.g., migrant stocks) and (policies, e.g., trade agreements) measures, introduced in the KOF index's 2018 revision, has fueled further discussion on their divergent impacts—such as de jure openness correlating differently with growth than activity. However, this separation is critiqued for not fully resolving issues or capturing subnational variations, as national aggregates overlook city-level or individual . Additionally, the index's structure disadvantages larger economies, which score lower due to relative scales in indicators like trade-to-GDP ratios, while smaller states dominate top rankings, suggesting an inherent size bias in the methodology. Data limitations exacerbate these debates, with imputation for missing values (via linear interpolation) risking distortions, particularly for less globalized or data-poor countries excluded from full coverage. Alternatives, such as the Modified Globalization Index (MGI), propose adjustments for country size and inclusion of environmental or violence dimensions with equal a priori weights, arguing that KOF's reliance on statistical aggregation perpetuates a "methodological nationalism" that understates supra-territorial processes. Proponents of KOF counter that its comprehensive, annually updated dataset for 203 countries since 1970 provides empirical robustness, though consensus remains elusive on whether any index can verifiably quantify globalization's multifaceted causality without privileging quantifiable proxies over unmeasurable intensities.

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