We collect data on operations, targets and human resources management practices in over 1,800 schools educating 15-year-olds in eight countries. Overall, we show that higher management quality is strongly associated with better educational outcomes. The UK, Sweden, Canada and the US obtain the...

We study the effects of managerial practices in schools on students' outcomes. We measure managerial practices using the World Management Survey, a methodology that enables us to construct robust measures of management quality comparable across countries. We find substantial heterogeneity in...

We study how managerial practices of school principals affect student performance and aspirations. We link administrative data on secondary Italian students to the management scores of their school principals in 2011 and 2015 based on the World Management Survey methodology. The frequent...

Response times are a simple low-cost indicator of the process of reasoning in strategic games (Rubinstein, 2007; Rubinstein, 2016). We leverage the dynamic nature of response-time data from repeated strategic interactions to measure the strategic complexity of a situation by how long people think on...

Generative artificial intelligence (AI) has made substantial progress, but its full capabilities remain unclear, and we still lack a comprehensive understanding of how people augment productivity with AI and perceive AI-generated outputs. This study compares the ability of AI to a representative...

In this paper we develop a dynamic structural life-cycle model of labor supply behavior which fully accounts for the effect of income tax and transfers on labor supply incentives. Additionally, the model recognizes the demand side driven rationing risk that might prevent individuals from...

A society is characterized by the common attitudes and behavior of its members. Such behavior reflects purposive decision making by individuals, given the environment they live in. Thus, as technology changes, so might social norms. There were big changes in social norms during the 20th century,...

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....