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EERN | Research, Insights, and Events

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: Boston
How Magic a Bullet Is Machine Learning for Credit Analysis? An Exploration with FinTech Lending Data
J. Christina Wang, Charles B. Perkins
FEDERAL RESERVE RESEARCH: Board of Governors
Tracking Real Time Layoffs with SEC Filings: A Preliminary Investigation
Leland D. Crane, Emily Green, Molly Harnish, Will McClennan, Paul E. Soto, Betsy Vrankovich, Jacob Williams
EERN Event
Expertise, AI, and the Work of the Future
FEDERAL RESERVE RESEARCH: St. Louis
The Rapid Adoption of Generative AI
Alexander Bick, Adam Blandin, David J. Deming
FEDERAL RESERVE RESEARCH: St. Louis
AI and Productivity Growth: Evidence from Historical Developments in Other Technologies
Aakash Kalyani, Marie Hogan
FEDERAL RESERVE RESEARCH: Kansas City
Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values
Thomas R. Cook, Greg Gupton, Zach Modig, Nathan M. Palmer
FEDERAL RESERVE RESEARCH: New York
AI and the Labor Market: Will Firms Hire, Fire, or Retrain?
Jaison R. Abel, Richard Deitz, Natalia Emanuel, Benjamin Hyman
EERN Event
GenAI and Real-World Productivity
Person holding tablet walks across a paved surface.
EERN Speech
What Will Artificial Intelligence Mean for America’s Workers?
Lisa D. Cook
stack of papers
FEDERAL RESERVE RESEARCH: Board of Governors
Sentiment in Bank Examination Reports and Bank Outcomes
Maureen Cowhey, Seung Jung Lee, Thomas Popeck Spiller, Cindy M. Vojtech
folded newspapers
FEDERAL RESERVE RESEARCH: Richmond, Chicago
News and Networks: Using Financial News Coverage to Measure Bank Interconnectedness
Sophia Kazinnik, Daniela Scida, John Wu, Cooper Killen
FEDERAL RESERVE RESEARCH: Kansas City
Macroeconomic Indicator Forecasting with Deep Neural Networks
Thomas R. Cook, Aaron Smalter Hall
FEDERAL RESERVE RESEARCH: Board of Governors
High Tech Business Entry in the Pandemic Era
Ryan Decker, John Haltiwanger
EERN BLOG
High Tech in Utah: A Roundtable on the Silicon Slopes, GenAI, and the Sector’s Future
FEDERAL RESERVE RESEARCH: Boston, Atlanta
Personality Traits and Financial Outcomes
Claire Greene, Oz Shy, Joanna Stavins
FEDERAL RESERVE RESEARCH: Richmond
Artificial Intelligence and Bank Supervision
John Mullin
FEDERAL RESERVE RESEARCH: Board of Governors
Fed Communication, News, Twitter, and Echo Chambers
Bennett Schmanski, Chiara Scotti, Clara Vega, Hedi Benamar
EERN Event
GenAI for Economic Opportunity: Early Learnings from Philanthropy and Nonprofits
FEDERAL RESERVE RESEARCH: Board of Governors
More than Words: Twitter Chatter and Financial Market Sentiment
Travis Adams, Andrea Ajello, Diego Silva, Francisco Vazquez-Grande
FEDERAL RESERVE RESEARCH: Kansas City
Understanding Models and Model Bias with Gaussian Processes
Thomas R. Cook, Nathan M. Palmer