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Adversarial Inference Is Efficient

By Tetsuya Kaji, Elena Manresa, and Guillaume A. Pouliot

AEA Papers and Proceedings, May 2021

We study properties of the adversarial framework, introduced in Kaji, Manresa and Pouliot (2020). We show that the adversarial inference with an oracle classifier is statistically efficient. In addition, we study the finite sample properties of the advers...

Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau's Experience

By Catherine Buffington, Jason Fields, and Lucia Foster

AEA Papers and Proceedings, May 2021

We provide an overview of Census Bureau activities to enhance the consistency, timeliness, and relevance of our data products in response to the COVID-19 pandemic. We highlight new data products designed to provide timely and granular information on the p...

Constrained Retrospective Search

By Can Urgun and Leeat Yariv

AEA Papers and Proceedings, May 2021

The search for good outcomes—be it government policies, technological breakthroughs, or lasting purchases—takes time and effort. At times, the decision process is unconstrained: an individual seeking a well-priced product determines her search scope a...

Business Formation: A Tale of Two Recessions

By Emin Dinlersoz, Timothy Dunne, John Haltiwanger, and Veronika Penciakova

AEA Papers and Proceedings, May 2021

The trajectory of new business applications and transitions to employer businesses differs markedly during the Great Recession and the COVID-19 recession. Both applications and transitions to employer start-ups decreased slowly but persistently in the pos...