This paper examines the usefulness of Kalai (2020)'s measure of the viability of Nash equilibrium. We experimentally study a class of participation games, which differ in the number of players, the success threshold, and the payoff to not participating. We find that Kalai's measure captures well...

We apply the basic lessons and insights learned in the elicitation and estimation of risk and time preferences literature to the literature on social preferences. Following Andersen et al. (2008), we design a laboratory experiment to jointly elicit risk preferences and preferences for altruism....

Alesina et al. (2023) examine how people perceive the number and characteristics of migrants and how those perceptions affect their support for redistribution. They find that respondents from the United States, United Kingdom, Sweden, Italy, Germany and France markedly overestimate the share of...

This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we...

Mixed-strategy Nash equilibrium is the cornerstone of our understanding of strategic situations that require decision makers to be unpredictable. Using data from nearly half a million serves over 3000 tennis matches, and data on player rankings from the ATP and WTA, we examine whether the...

We challenge a commonly used assumption in the literature on social preferences and show that this assumption leads to significantly biased estimates of the social preference parameter. Using Monte Carlo simulations, we demonstrate that the literature's common restrictions on the curvature of...

Masatlioglu et al. (2023) show a strong intrinsic preference for positively skewed information over negatively skewed information through three laboratory and two field experiments. Using the provided replication package, we successfully computationally reproduce these results. Additionally, we...

We use a rigorous three-stage many-analysts design to assess how different researcher decisions—specifically data cleaning, research design, and the interpretation of a policy question—affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...

This study evaluates the effectiveness of varying levels of human and artificial intelligence (AI) integration in reproducibility assessments of quantitative social science research. We computationally reproduced quantitative results from published articles in the social sciences with 288...

We use a rigorous three-stage many-analysts design to assess how different researcher decisions-specifically data cleaning, research design, and the interpretation of a policy question-affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...