Abstract I study the determinants of choosing to identify as Hispanic among individuals who are eligible—those whose parents, grandparents, or themselves were born in a Spanish‐speaking country. Using a multiple proxy regression approach, I construct a bias measure based on the Implicit Association Test (IAT) and the American National Election Studies (ANES). I find that individuals with Hispanic ancestry are significantly less likely to self‐identify as Hispanic if they reside in states with high levels of bias. A one standard deviation increase in bias reduces self‐reported Hispanic identity by 4 percentage points among all Hispanics. These effects are more pronounced among second‐generation immigrants with both parents born in a Spanish‐speaking country compared to children of inter‐ethnic parents. These findings have implications for interpreting research on ethnic gaps in economic outcomes and for accurately counting the population.

Abstract A striking feature of the contemporary U.S. economy is the widespread adoption of technologies associated with the 4th Industrial Revolution (IR) including sensors, industrial robotics, artificial intelligence, and machine learning. Empirical work investigating the labor market impacts of 4th IR technological advances reveals they are skill‐biased, primarily advancing job opportunities for those with high levels of formal of education, unlike prior industrial revolutions that were skill neutral. This paper explains how the 4th IR has fostered job polarization, greater technological unemployment, and increasing wage inequality. Moreover, we delineate why these developments are worrisome and likely to expand over time. We assert that policy intervention to promote reinstatement of technologically unemployed persons is warranted, because displacement of labor caused by automation creates negative externalities. Consequently, we provide an example of how tax policies could be used to curtail technological unemployment—without creating hurdles for the adoption of 4th IR innovations. We advance and describe a new, innovative way, for fiscal policy to foster employment opportunities for those at greatest risk of job loss through automation. The initiative entails government subsidies to promote the provision and acquisition of skill certificates that employers view as complementary with 4th Industrial Revolution Technologies.

Abstract Previous research has highlighted referee bias as a potential contributor to home field advantage in soccer. In order to shed light on the importance of referee bias, we exploit the staggered implementation of Video Assistant Referee (VAR) using data from the top domestic league in 16 countries between 2009 and 2019 to estimate the effect of objective review systems on home field advantage in soccer. Surprisingly, the implementation of VAR had negligible effects on home field advantage and various crucial match statistics despite decreased total offsides and yellow cards. These results provide suggestive evidence regarding the mechanisms through which referee bias might contribute to home field advantage and highlight how scope may limit the effectiveness of review processes in general.

Abstract Scholars who study political corruption typically assume that it is a pathology. This assumption gives rise to certain problems. On the one hand, scholars who conceive corruption as a principal‐agent problem yield anti‐corruption policies with disappointing results. On the other hand, political economists who grasp the functionality of corruption within inefficient institutions are torn between embracing the functionality of corrupt actions and eradicating them. These issues result from the assumption that corruption is a pathology. Philosophy operates at the level of assumptions, offering a potential avenue for addressing these issues. This paper puts forward a non‐ideal theory of corruption, in which partial compliance with the law is not always seen as a pathology; sometimes corruption includes information about the quality of the law. A non‐ideal theory of corruption puts forward the idea that some cases of corruption result from defective laws rather than defective people.

Abstract Previous literature has established the need to separate insider from expert trading in both financial and betting markets. This type of separation proves difficult to achieve because experts and insiders co‐exist in most market settings. Utilizing novel betting markets in which expert skill bettors are unable to use their expert knowledge, this study uncouples insider from expert betting, and allows more direct measurement of insider trading than in previous empirical tests. Evidence is presented in favor of some predictions from the highly cited Shin model of insider trading. Price setters charge an extra premium in markets with high proportions of insiders when compared to equivalent markets. The insiders accurately predict event outcomes, and their presence exacerbates a well known bias in betting market prices whereby returns on betting favorites is higher than for bets on longshots.

Abstract This study examines the published estimates on the relationship between economic freedom, as measured by the Economic Freedom of the World (EFW) index, and measures of growth, income, investment, and inequality. We obtained 696 point estimates for economic freedom‐growth from 54 articles, 386 estimates for economic freedom‐income from 23 articles, 343 estimates for economic freedom‐investment from 32 articles, and 759 estimates for economic freedom‐inequality from 26 articles. The published estimates support the view that economic freedom is positively related to growth, income, and investment. The level of economic freedom appears to be simply unrelated to inequality, though increases in economic freedom may correlate with higher inequality.