L0-Regularized Item Response Theory Model for Robust Ideal Point Estimation
Abstract
Ideal point estimation methods face a significant challenge when legislators engage in protest voting – strategically voting against their party to express dissatisfaction. Such votes introduce attenuation bias, making ideologically extreme legislators appear artificially moderate. We propose a novel statistical framework that extends the fast EM-based estimation approach of Imai et al. [2016] using l0 regularization method to handle protest votes. Through simulation studies, we demonstrate that our proposed method maintains estimation accuracy even with high proportions of protest votes, while being substantially faster than MCMC-based methods. Applying our method to the 116th and 117th U.S. House of Representatives, we successfully recover the extreme liberal positions of “the Squad,” whose protest votes had caused conventional methods to misclassify them as moderates. While conventional methods rank Ocasio-Cortez as more conservative than 69% of Democrats, our method places her firmly in the progressive wing, aligning with her documented policy positions. This approach provides both robust ideal point estimates and systematic identification of protest votes, facilitating deeper analysis of strategic voting behavior in legislatures.
The Representation Paradox: Why Labor Market Outsiders Get Attention but Not Action
Abstract
Conventional theories of labor market outsider representation emphasize partisan ideology as the primary determinant of legislative attention to precarious workers’ interests. We challenge this view by demonstrating that governing status, rather than ideology, is a decisive factor shaping outsider representation in majoritarian electoral systems where high electoral thresholds prevent labor market outsiders from supporting credible alternative parties. To test this theory, we exploit South Korea’s 2017 post-impeachment presidential election, which created an exogenous shift in governing status during a congressional session. Using a cross-over difference-in-differences (DID) method, we find that while opposition parties actively propose pro-outsider legislation, their lack of governing power renders these efforts largely symbolic. Conversely, governing parties possess the institutional capacity to implement meaningful reforms but face systematic incentives to avoid pro-outsider policies. This creates a representational paradox where newly emerging precarious groups receive significant legislative attention but limited policy implementation.
Does Import Substitutability Constrain Foreign Policy? Evidence from UNGA Voting During Russia-Ukraine Conflicts
Abstract
This study examines how economic dependencies constrain foreign policy autonomy by analyzing UN General Assembly voting patterns following Russia’s 2014 annexation of Crimea and 2022 invasion of Ukraine. Using a novel measure of product-level import substitutability, we decouple genuine economic constraints from underlying factors correlated with UN voting preferences. Our analysis reveals that countries with higher constraint-weighted (i.e., harder-to-replace) import dependence on Russia were significantly more likely to support or abstain on Russia-related votes, with effects intensifying after 2022. Sectoral analysis shows that dependencies on hard-to-substitute products like ‘Arms’ and ‘Cereals’ created the strongest diplomatic constraints, while more substitutable ‘Mineral Fuels’ showed moderate effects despite their economic prominence. The 2022 invasion produced dramatic constraint intensification. These findings demonstrate that product-level substitutability–particularly switching costs and supply concentration–determines when economic ties translate into foreign policy constraints, with arms and specialized agricultural products proving more constraining than energy despite conventional wisdom emphasizing energy leverage.
The Tariff Trap:
How the U.S. Trade Policy Undermines Dollar Hegemony
Abstract
This study examines how U.S. trade policies, intended to strengthen America’s economic position, may systematically undermine the dollar’s global dominance. Our analysis demonstrates that as U.S. tariff policies push countries away from American markets and toward Chinese economic integration, they systematically increase their gold reserve shares as a hedge against dollar-related risks. Effects intensify dramatically across presidential periods, with countries at the 25th percentile of Chinese import dependence increasing gold shares by approximately 2.33 percentage points during the early Trump 2.0 period compared to the Obama baseline. Complementary analysis of Treasury maturity composition reveals that official sector holdings have shifted toward shorter-duration assets during Trump 2.0, providing additional evidence of declining confidence in long-term dollar stability. These findings show how trade restrictions create a self-defeating cycle: tariffs reduce countries’ stakes in dollar-based arrangements while simultaneously increasing their incentives to diversify into alternative reserve assets, thereby generating unintended consequences that undermine America’s monetary advantages.
When Foreign Investment Counters the Populist Backlash: County-level Evidence from US Presidential Elections
Abstract
While research shows globalization-induced job losses fuel anti-establishment voting in the US, this overlooks that America is also the world’s largest foreign direct investment (FDI) recipient, creating millions of local jobs. We argue that FDI-receiving communities perceive impacts of globalization differently because they experience wage growth, positive contact with skilled migrants, and global value chain integration, fostering pro-globalization sentiment. Using county-level data from 2008–2020, we find counties with substantial FDI job growth showed smaller vote swings toward Trump in 2016. This ef- fect was strongest in counties with simultaneous job losses, particularly among white, male, or rural populations—demographics that typically exhibit the strongest anti- establishment sentiment and are most susceptible to trade-displacement grievances. These findings reveal a counter-narrative: where global integration delivers tangible prosperity, it builds political resilience against populist backlash.
Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models
Abstract
Roll-call data are among the most distinctive and information-rich datasets in political science, yet conventional ideal point models—such as NOMINATE and Bayesian IRT—rely on non-metric utility formulations that distort relational structure. We apply a distance-based framework, the Latent Space Item Response Model (LSIRM), to this setting, demonstrating how Euclidean distance restores a proper metric foundation for legislative behavior while enabling joint embedding of legislators and bills in a bipartite network framework. In simulation studies, LSIRM consistently recovers known coalition structures with higher cluster separation. In the empirical application to the 118th U.S. House roll-call data, LSIRM improves predictive accuracy and provides bill embeddings that serve as interpretive anchors, clarifying cross-cutting cleavages and issue alignments. This study illustrates how adapting a statistical model originally developed in network analysis to roll-call data yields new insights into party cohesion, factional divisions, and the multidimensional geometry of legislative politics.
Partisan Contestation of International Organization Legitimacy: Evidence from the IAEA in South Korea’s Fukushima Debate
Abstract
This study investigates how international organizations (IOs) can maintain legitimacy and influence when domestic politics become polarized around their involvement. Using the International Atomic Energy Agency’s (IAEA) engagement with South Korea’s controversy over Japan’s Fukushima wastewater release as a case study, we examine both elite discourse and public opinion formation around IO legitimacy. Through analysis of political party statements, we identify three key characteristics—expertise, neutrality, and transparency—that parties strategically invoke to either legitimize or challenge IO involvement in domestic affairs. We then test how these characteristics affect public attitudes toward IO engagement more broadly through a survey experiment with 3,106 South Korean citizens. While overall effects on IO acceptance are modest, we find that emphasizing technical expertise significantly increases support for IO involvement among initially skeptical subgroups, particularly liberals and moderates. Notably, groups with lower baseline trust in IO involvement—including college-educated respondents—proved most responsive to expertise-based appeals. These findings suggest that while IO involvement in polarized domestic debates faces inherent limitations, technical competence can serve as a crucial legitimizing resource, particularly among educated and initially skeptical audiences who are capable of processing expertise-based arguments.
Geographically Concentrated Development and Low Fertility Trap
Abstact
Industrialized countries have been experiencing a significant decline in birth rates, posing unprecedented challenges to their economic and social welfare systems. We argue that the “low fertility trap,” characterized by declining fertility rates despite policy efforts to counteract them, is more likely to occur in countries with significant population concentration in their capital cities. Using an instrumental variable approach with the age of the national capital city as an instrument of spatial population concentration, we find that population concentration in capital cities decreases fertility rates, even after controlling for various factors. Furthermore, our analysis of global survey data finds strong evidence that individuals living in countries with higher spatial population concentration perceive a greater conflict between careers and bearing children.