Published
Organization Science
Introducing VRscores, a new measure of workforce partisanship built from voter registrations covering 24 million workers.
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Americans increasingly sort their lives along partisan lines, and the workplace is no exception. Political identity now affects retention, hiring, and employee engagement in ways that matter for firm strategy and organizational outcomes. When a company takes a political stance, some employees stay longer and others leave. Workers sort into politically like-minded firms at rates comparable to gender segregation. And the political composition of a workplace can predict whether employees vote on Election Day.
My research measures these patterns using voter registration records linked to employment histories for tens of millions of U.S. workers, producing one of the first large-scale pictures of how partisanship operates inside firms. I study how employee politics shapes labor markets, how firms respond to polarization, and what happens when companies take sides in political debates.
My research has been supported by generous funders including the National Science Foundation and is forthcoming in Organization Science and Nature Human Behaviour, and under review at Management Science and Administrative Science Quarterly. I received my Ph.D. in Political Science from UC Berkeley. Before grad school, I worked at McKinsey & Company in Dubai and New York, in private equity, and at the Good Jobs Institute.
Politics at Work
Explore the dataset and project materials for the political polarization and workplace research stream.
Explore the projectPublished
Introducing VRscores, a new measure of workforce partisanship built from voter registrations covering 24 million workers.
View researchForthcoming
Americans are politically segregated by workplace, with partisan sorting similar in magnitude to gender segregation.
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