Understanding corruption is at the heart of treating the dysfunctionality of many countries' public sectors. Yet, most corruption research suffers from one common problem: There is no "objective" measure of public-sector corruption for a cross-section of countries. Most studies on the...

There is an emerging consensus that teachers impact multiple student outcomes, but it remains unclear how to summarize these multiple dimensions of teacher effectiveness into simple metrics that can be used for research or personnel decisions. Here, we discuss the implications of estimating...

We present the results of a randomized intervention to study how teaching financial literacy to 16-year old high-school students affects their behavior in risk and time preference tasks. Compared to two different control treatments, we find that teaching financial literacy makes subjects behave...

This paper presents novel evidence for the prevalence of deviations from rational behavior in human decision making – and for the corresponding causes and consequences. The analysis is based on move-by-move data from chess tournaments and an identification strategy that compares behavior of...

Subjective expectations about future policy play an important role in individuals' welfare. We examine how workers' expectations about pension reform vary with proximity to reforms, information cost, and aggregate information acquisition. We construct a new pan-European dataset of reform...

This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the timing of decisions is endogenous: professional chess. Move-by-move data provide exceptionally detailed and precise...

A population’s weight conditioned on height reflects its current net nutrition and demonstrates health variation during economic development. This study builds on the use of weight as a measure for current net nutrition and uses a difference-in-decompositions technique to illustrate how black...

This paper revisits the relationship between international trade and economic growth. We measure trade openness indices separately with respect to intermediate inputs and final goods and find that it is the former which turns out to be significant in explaining growth gains from trade. Using...

We focus on the estimation of market entry costs that are declining over time and evaluate their impact on competition and market performance. We employ a dynamic oligopoly model in which firms make entry, exit, and production decisions in the presence of declining entry costs and learning by...

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...