We conclude that the DEU methodology and data, as they are described in the article, do not support the conclusion that broad-based increases in market power have occurred in recent decades. This ...

We estimate and compare impacts of cash and in-kind transfers on the consumption of temptation goods in the same population, and explore normative implications. We use two decades of data from South ...

We compare the lending technology of direct lenders, banks, and finance companies using a unique data set on secured borrowing by the universe of U.S.-based private middle market firms. The borrowers ...

We study the logic of state surveillance using the first complete individual-level database of those monitored by a state — 152,000 Italians born between 1816 and 1932, encompassing both democratic ...

This paper examines a large-scale randomized evaluation of the One Laptop Per Child (OLPC) program in 531 Peruvian rural primary schools. We use administrative data on academic performance and grade ...

We construct representative security-fund-level longitudinal data for the United States using regulatory filings of portfolio holdings from Form N-PORT. We validate our dataset by comparing coverage ...

We estimate the economic value of cities worldwide, using detailed job histories for 513 million workers in 220,000 cities across 191 countries. These estimates allow us to identify why some cities ...

Consistent with this shortage, we estimate that the median social rate of return to installing an additional kilometer of two-lane highway in EMDEs is 55 percent—roughly eight times the social rate of ...

This paper investigates the consequences of regime change for both migration and foreign direct investment (FDI) by employing quasi-natural experiments that exploit external and internal shocks to ...

During World War II, the U.S. government incarcerated all West Coast Japanese Americans in internment camps. We ask how this forced displacement affected Japanese American enclaves. Using the recently ...

We use comprehensive tax data to study how saving behavior responds to the Health Savings Account (HSA) “catch-up” contribution provision, which raises HSA contribution limits for individuals aged 55 ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...