Research associate Eric Budish, an affiliate of the Industrial Organization program whose research has applied the tools and insights of market design to a range of settings including financial market ...
John Leahy and Casey Mulligan. NBER Research Associates John Leahy and Casey Mulligan have been tapped for new roles in the ...
This paper examines the effects of tariffs along the supply chain using product-level data from a large U.S. wine importer in the context of the 2019-2021 U.S. tariffs on European wines. By combining ...
Cellphone bans in schools have become a popular policy in recent years in the United States, yet very little is known about their effects on student outcomes. In this study, we try to fill this gap by ...
Utilizing large-scale surveys of over 27,000 respondents across 13 advanced and emerging market economies conducted between April and May 2024, we examine how knowledge, beliefs, and preferences ...
We study how Elon Musk's polarizing and partisan actions have impacted Tesla vehicle sales in the United States. Using county-level, monthly data on new vehicle registrations, we leverage how changes ...
Several competing theories in a number of disciplines point to a possible influence of fertility history on health and mortality. However, the direction of effects is theoretically a-priori unknown ...
This paper studies how Knightian uncertainty about the distribution of future trade policies affects current trade flows using a dynamic trade model with a sunk cost of exporting. Qualitatively, trade ...
What does homeless shelter achieve? We leverage administrative records of homeless services in Los Angeles County to construct a novel dataset of daily, site-level counts of shelter beds and occupants ...
Gender wage gaps persist globally, particularly in poor countries. Using Kenya Life Panel Survey data, we first document a raw gender wage gap of 79 log points (55%). We show it remains large, at 39 ...
China’s unprecedented expansion of higher education in 1999, increased annual college enrollment from 1 million to 9.6 million by 2020. We trace the global ripple effects of that expansion by ...
We use recent advances in natural language processing and large language models to construct novel measures of technology exposure for workers that span almost two centuries. Combining our measures ...
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