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Emerging technologies catalyze changes in our workplaces, homes, and communities – and as a result, in our economy. On this page, you can find economic research and insights on the impacts of emerging technologies as well as economic research conducted using artificial intelligence and machine learning.

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FEDERAL RESERVE RESEARCH: CLEVELAND
Regional Economic Sentiment: Constructing Quantitative Estimates from the Beige Book and Testing Their Ability to Forecast Recessions
Ilias Filippou, Christian Garciga, James Mitchell, My T. Nguyen
FEDERAL RESERVE RESEARCH: SAN FRANCISCO
Measuring News Sentiment
Adam Hale Shapiro, Moritz Sudhof, Daniel J. Wilson
EERN Event
Simon Johnson | Technology and Inequality in the Age of AI
Federal Reserve Research: Minneapolis
Expanding Unemployment Insurance Coverage
Amanda Michaud
FEDERAL RESERVE RESEARCH: KANSAS CITY, RICHMOND
Evaluating Local Language Models: An Application to Financial Earnings Calls
Thomas R. Cook, Sophia Kazinnik, Anne Lundgaard Hansen, and Peter McAdam
Panel discussants.
EERN EVENT
The Transformative Power of AI: How is Technology Changing Our Lives?
Mary C. Daly
FEDERAL RESERVE RESEARCH: SAN FRANCISCO
Taking the Fed at its Word: A New Approach to Estimating Central Bank Objectives using Text Analysis
Adam Hale Shapiro, Daniel J. Wilson
FEDERAL RESERVE RESEARCH: PHILADELPHIA
PEAD.txt: Post-Earnings-Announcement Drift Using Text
Vitaly Meursault, Pierre Jinghong Liang, Bryan R. Routledge, and Madeline Marco Scanlon
FEDERAL RESERVE RESEARCH: RICHMOND
Bank Run, Interrupted: Modeling Deposit Withdrawals with Generative AI
Sophia Kazinnik
FEDERAL RESERVE RESEARCH: BOSTON
Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning
John M. Abowd, Joelle Abramowitz, Margaret C. Levenstein, Kristin McCue, Dhiren Patki, Trivellore Raghunathan, Matthew D. Shapiro, Nada Wasi, and Dawn Zinsser
EERN Blog
Understanding How Artificial Intelligence is Changing Advanced Manufacturing and Other Sectors of the Economy
EERN EVENT
AI-nomics: The Nexus of GenAI + the Economy
EERN Blog
How Twelfth District Businesses are Rapidly Embracing GenAI
FEDERAL RESERVE RESEARCH: CHICAGO
A Machine Learning Projection Method for Macro-Finance Models
Vytautas Valaitis, Alessandro T. Villa
FEDERAL RESERVE RESEARCH: ATLANTA
The Anatomy of Out-of-Sample Forecasting Accuracy
Daniel Borup, Philippe Goulet Coulombe, David E. Rapach, Erik Christian Montes Schütte, and Sander Schwenk-Nebbe
Overlapping squares and lines with binary code.
FEDERAL RESERVE RESEARCH: BOARD OF GOVERNORS, BOSTON
Identifying Financial Crises Using Machine Learning on Textual Data
Mary Chen, Matthew DeHaven, Isabel Kitschelt, Seung Jung Lee, and Martin J. Sicilian
EERN News
No One Actually Knows How AI Will Affect Jobs – President Daly Featured in WIRED
EERN Blog
Understanding How Generative AI is Changing the Health Care and Legal Industries
FEDERAL RESERVE RESEARCH: PHILADELPHIA
Advancing Fairness in Lending Through Machine Learning
Vitaly Meursault, Daniel Moulton, Larry Santucci, and Nathan Schor, with web adaptation by Kali Aloisi
FEDERAL RESERVE RESEARCH: CLEVELAND
Deep Neural Network Estimation in Panel Data Models
Ilias Chronopoulos, Katerina Chrysikou, George Kapetanios, James Mitchell, and Aristeidis Raftapostolos