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Steven Singer

Steven Singer is a Data Scientist at Outten & Golden LLP, where his research lies at the intersection of data analytics, optimization, and social justice. His work integrates artificial intelligence and economic modeling to enhance operational efficiency within the legal sector and to advance equitable business practices. Recently, Steven was awarded Business Economics’ Contributed Paper Award for his paper Ghost Jobs, Real Costs exemplifying his commitment to using data-driven inquiry to uncover systemic labor market patterns and to inform both policy and organizational decision-making. Steven is currently pursuing a M.S. in Management Science and Engineering from Stanford University and holds a B.A. in Mathematics from Northwestern University.
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Is the SEC’s Whistleblower Program Distorting Enforcement?

Dave Jochnowitz
Using a proprietary dataset, Dave Jochnowitz, Steven Singer, and Mona Birjandi analyze trends in the Securities and Exchange Commission’s whistleblower program. They find that sanctions have concentrated in a select few violation categories, raising the possibility that the program is structurally guiding enforcers to focus on certain violation types to the neglect of others.

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The publication of the Stigler Center at The University of Chicago Booth School of Business

ProMarket is dedicated to discussing how competition tends to be subverted by special interests. The posts represent the opinions of their writers, not necessarily those of the University of Chicago, the Booth School of Business, or its faculty. For more information, please visit ProMarket Policy.