Central Council

 

Eminent Speaker Series: Susan Athey - ONLINE ONLY

Date

From: Friday November 8, 2024, 12:00 pm

To: Friday November 8, 2024, 1:00 pm

Identifying Challenges and Improving Outcomes for Labor Market Transitions Using Machine Learning

This talk will review several recent papers that focus on labor market transitions.  The first project analyzes worker resilience in response to layoffs, using administrative data from Sweden.  Recently developed machine learning methods identify and characterize groups of workers who are predictably less resilient to layoffs. There is substantial heterogeneity within firms and within markets in terms of worker resilience.  Two additional projects create, implement, and evaluate digital interventions that help disadvantaged workers successfully transition into growing occupations related to information technology and data science.   Finally, recent work applies foundation models based on custom-created transformer neural networks and/or large language models to model worker careers and decompose gender wage gaps.

Details

When: Friday 8 November, 2024
Time: From 12.00pm until 1.00pm AEDT (SYD/CBR/MEL)
Cost: Free for members, $5 for non members
Venue: Online via Zoom

About the Speaker

Professor Athey is The Economics of Technology Professor at Stanford Graduate School of Business. She is the recipient of the John Bates Clark Medal, awarded by the AEA to the economist under 40 who has made the greatest contributions to thought.

Her current research focuses on the economics of digitization, marketplace design, and the intersection of econometrics and machine learning. She has worked on timber auctions, internet search and advertising, and media.

She served as consulting chief economist for Microsoft Corporation for six years, and as a long-term advisor to the British Columbia Ministry of Forests.  In 2022, she took leave from Stanford to serve as Chief Economist at the U.S. Department of Justice Antitrust Division. She was the 2023 President of the AEA.


Registration and Joining this Webinar

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The timing of this event is AEDT (SYD/CBR/MEL)

 

 

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