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- Kenneth_E._Train abstract "Kenneth E. Train (born November 14, 1951) is an Adjunct Professor of Economics at the University of California, Berkeley, USA. He is also Vice President of NERA Economic Consulting, Inc. in San Francisco, California. He received a Bachelors in Economics at Harvard and PhD from UC Berkeley. He specializes in econometrics and regulation, with applications in energy, environmental studies, telecommunications and transportation.Kenneth Train has published three books and more than sixty articles. His most recent book, Discrete Choice Methods with Simulation, deals with a new area in econometrics. His software for mixed logit estimation, which is distributed free on his university website, has been used by researchers worldwide, and several commercial statistical packages have recently added mixed logit routines that reach an even larger audience.Professor Train has served as an expert witness in court cases and regulatory proceedings, on the editorial board of academic journals, and as chair of the Center for Regulatory Policy at UC Berkeley. He has received awards for his teaching and research, including Outstanding Teaching awards from both the undergraduate and graduate economics students' associations at UC Berkeley, an Outstanding Achievement award for his work on energy conservation program evaluation, and the Richard Stone prize in applied econometrics.".
- Kenneth_E._Train birthDate "1951".
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- Kenneth_E._Train wikiPageWikiLinkText "Dr. Kenneth E. Train".
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- Kenneth_E._Train dateOfBirth "1951".
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- Kenneth_E._Train comment "Kenneth E. Train (born November 14, 1951) is an Adjunct Professor of Economics at the University of California, Berkeley, USA. He is also Vice President of NERA Economic Consulting, Inc. in San Francisco, California. He received a Bachelors in Economics at Harvard and PhD from UC Berkeley. He specializes in econometrics and regulation, with applications in energy, environmental studies, telecommunications and transportation.Kenneth Train has published three books and more than sixty articles.".
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