Mini-grids are emerging as a key solution to electrify access-deficit communities, yet their effectiveness in improving energy access and household welfare remains underexplored. This paper provides novel evidence from Tanzania, where a policy reform doubled the number of mini-grids since 2008....

Building on recent advances in Natural Language Processing and modeling of sequences, we study how a multimodal Transformer-based deep learning architecture can be used for measurement and structural narrative attribution in macroeconomics. The framework we propose combines (news) text and...

We study how incarceration experience shapes preferences for criminal justice policies. In collaboration with a newly opened prison, we conducted a randomized field experiment that offered citizens the opportunity to experience up to two days of incarceration, closely replicating the real-life...

Early adoption of artificial intelligence (AI) reshaped how firms responded to market dynamics by enhancing data collection and analysis. Linking China's universe of customs shipments to millions of online job ads, we tracked AI hiring in sales, marketing, and analytics to build a firm-level...

Switzerland features strong socio-economic segregation and no formal school choice, making residential relocation the only channel through which parents can access preferred schools. Identifying how parents value school attributes is therefore essential but challenging, given that choices bundle...

A large literature investigates the employment effects of minimum wages, with comparatively little evidence on other adjustment margins. In this paper, we analyze the impact of a nationwide introduction of minimum wages in Germany on employer-induced work pressure, using detailed worker-level...

This paper develops a tractable framework in which heterogeneity, captured by the distribution of agent characteristics within an alternative (sector, location, or occupation), emerges endogenously in equilibrium through selection rather than being imposed exogenously. I show that widely used...

This paper studies the impact of AI on productivity and inequality by focusing on the introduction of AlphaFold2. This AI algorithm can accurately predict protein structures, which were traditionally characterized by structural biologists through experiments. To capture the impact of AI on...

Can questions about life satisfaction be used to measure parental preferences for daughters versus sons? Daughter preference has rarely been documented in the literature, even in matrilineal settings. One possible reason is that the commonly used measures of parental gender preference, such as...

Despite their advantages, multinational enterprises (MNEs) receive significant criticism, particularly with regard to offshoring jobs and shifting profits abroad to avoid taxation. Using administrative data for the universe of Norwegian and French firms and workers, we link these two issues by...