This paper studies the labor market effects of recent state-level policies that require employers to disclose salary information in job postings. Leveraging a difference-in-differences design, we show ...

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 ...

Responses to surveys eliciting evaluations of trust in government, both generally and in specific areas, have varied over time and across countries. Using consistent survey data for 34 OECD countries ...

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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 use high-frequency retail microdata to measure the short-run impact of the 2025 U.S. tariffs on consumer prices. By matching daily prices from major U.S. retailers to product-level tariff rates and ...

We study how the spatial distribution of income and commuting patterns within cities vary across the development spectrum, drawing on new granular data from 50,000 neighborhoods in 121 cities across ...

We study how social forces shape demand for AI-based learning tools early in the education pipeline. In incentivized experiments with parents—key gatekeepers for children’s AI adoption—we elicit their ...

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 ...

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 ...

We document some underappreciated aspects of the recent evolution of the international reserve system. These include the growing share of gold in global central bank reserves, the continuing emergence ...

Target allocation funds (TAFs) make predictable rebalancing trades to maintain portfolio weights across asset classes. During the COVID-19 stock market crash, TAFs sold $59 billion of bond fund shares ...