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The Cost of Delivery Delays

By Maria-Jose Carreras-Valle and Alessandro Ferrari

AEA Papers and Proceedings, May 2025

The rise in supply disruptions after COVID-19 affected businesses across the United States. Yet, measures of disruptions or delays are difficult to estimate. Here, we provide a model-based measure of delays using aggregate manufacturing inventory data and...

Metacognitive Awareness and Academic Performance

By Jarod Apperson, A. Nayena Blankson, Francesina Jackson, Angelino Viceisza, Bruce Wade, and Jimmeka Guillory Wright

AEA Papers and Proceedings, May 2025

Roughly 25 percent of first-year college students do not return for a second year. This has led to a range of policies and interventions to increase persistence in college. In this article, we assess whether cognitive strategy instruction (CSI) has the po...

What Deters Women from Economics

By Kristy Buzard, Katelyn Cranney, Laura K. Gee, and Olga Stoddard

AEA Papers and Proceedings, May 2025

We survey undergraduate students at two US universities to investigate the perceptions of the economics major by gender. Women report a significantly lower interest in economics relative to men. In exploring potential mechanisms, we find that women antici...

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 ...

Extracting Statistical Relationships from Observational Data: Predicting with Full or Partial Information

By Guillaume R. Fréchette, Emanuel Vespa, and Sevgi Yuksel

AEA Papers and Proceedings, May 2025

Decision-makers sometimes rely on past data to learn statistical relationships between variables. However, when predicting a target variable, they must adjust how they aggregate past information depending on the observables available. If agents have infor...

Real and Assumed Information

By Ned Augenblick, Matthew Backus, Andrew T. Little, and Don A. Moore

AEA Papers and Proceedings, May 2025

We consider a simplified version of the model in Augenblick et. al (2025), in which people use models to translate data into beliefs and predictions. We posit that they make correct inferences given a model but not unconditionally, forgetting model uncert...