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Unhoused and Mismeasured: The Accuracy of Surveys of Those Experiencing Homelessness

By Bruce D. Meyer, Angela Wyse, Gillian Meyer, Alexa Grunwaldt, and Derek Wu

AEA Papers and Proceedings, May 2025

We examine the accuracy of self-reported information from homeless shelter residents in the American Community Survey by comparing survey responses to administrative records. While basic demographic information (age, gender, and citizenship) is reported w...

Labor Market Attachment and Perceived Barriers to Work among Homeless Families

By Nour Abdul-Razzak, John Eric Humphries, Stephen Stapleton, and Winnie van Dijk

AEA Papers and Proceedings, May 2025

We study labor market attachment among homeless families using baseline survey data from a large-scale study in Illinois. Of homeless parents, 40 percent worked in the past month. Among those not working, most report wanting and actively searching for a j...

AI and Women's Employment in Europe

By Stefania Albanesi, António Dias da Silva, Juan F. Jimeno, Ana Lamo, and Alena Wabitsch

AEA Papers and Proceedings, May 2025

We examine the link between the diffusion of artificial intelligence (AI)-enabled technologies and changes in the female employment share in 16 European countries over the period 2011–2019. Using data for occupations at the three-digit level, we find th...

How Different Uses of AI Shape Labor Demand: Evidence from France

By Philippe Aghion, Simon Bunel, Xavier Jaravel, Thomas Mikaelsen, Alexandra Roulet, and Jakob Søgaard

AEA Papers and Proceedings, May 2025

Using French firm-level data on AI adoption from 2017–2020, we find that, first, firms adopting AI are larger and more productive and skill intensive. Second, difference-in-difference estimates reveal an increase in firm-level employment and sales after...

From Online Job Postings to Economic Insights: A Machine Learning Approach to Structuring Naturally Occurring Data

By Tatjana Dahlhaus, Reinhard Ellwanger, Gabriela Galassi, and Pierre-Yves Yanni

AEA Papers and Proceedings, May 2025

This paper develops a matched vacancy-company dataset by combining daily Canadian online job postings with smartphone-derived visits to points of interest. To address inconsistencies in company names, we enhance natural language processing algorithms for ...

Can Incorrect Beliefs about the Racial Composition of Welfare and Unemployment Insurance Beneficiaries Be Changed?

By Jeffrey Carpenter, Jakina Debnam Guzman, Peter Hans Matthews, and Erin L. Wolcott

AEA Papers and Proceedings, May 2025

Some argue that support for the social safety net in the United States is influenced by beliefs about the beneficiaries' race. Information treatments have the potential to change these beliefs, but for them to be policy relevant, their effects must last b...

New Gig Work or Changes in Reporting? Understanding Self-Employment Trends in Tax Data

By Andrew Garin, Emilie Jackson, and Dmitri Koustas

American Economic Journal: Applied Economics, July 2025

We show that increases in the share of workers reporting self-employment to the IRS are not associated with changes in firm-reported payments to "gig" and other contract workers after 2005 but are driven primarily by self-reported earnings of individuals ...