Aviv Nevo

George A. Weiss and Lydia Bravo Weiss University Professor at The Wharton School

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  • The Wharton School

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The Wharton School

Aviv Nevo is the seventeenth Penn Integrates Knowledge Professor, with  appointments in the Department of Economics in the School of Arts and Sciences, and the Department of Marketing in the Wharton School.

Nevo is a leading scholar in the fields of industrial organization, econometrics, marketing, and antitrust. Nevo draws from his experience across academic, governmental, and corporate sectors to address pressing realworld issues, opening pathways for a broader understanding of national and global economies. His past research includes topics in the areas of health economics, health care, telecommunications, and real estate brokerages, as well as questions involving the demand for packaged goods and its implications for mergers and market power.

Nevo served as chief economist in the Antitrust Division of the Department of Justice, advising attorneys on merger, civil, and criminal investigations in addition to leading the division’s Economic Analysis Group. He has been retained as an expert by the Department of Justice, the Federal Trade Commission, and private firms in cases related to antitrust and competition, among other matters. Nevo’s expertise is routinely relied upon to help adjucate some of the most complex investigations, commercial litigations, and regulatory proceedings in countries around the world.

A Fellow of the Econometric Society, Research Associate for the National Bureau of Economic Research, and International Research Fellow at the Institute for Fiscal Studies in London.

Professor Nevo earned a Ph.D. in 1997 and AM in 1994 in economics from Harvard University and a BSc with Special Honors in mathematics and economics from Tel Aviv University in 1991.

 

Past Courses

MKTG754 PRICING POLICY

The course provides a systematic presentation of the factors to be considered when setting price, and shows how pricing alternatives are developed. Analytical methods are developed and new approaches are explored for solving pricing decisions.

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