Kenneth E. Train

Kenneth E. Train

American economist
Date of Birth: 14.11.1951
Country: USA

Content:
  1. American economist
  2. Biography

American economist

Kenneth E. Train is an American economist and a professor of economics at The University of California, Berkeley. He also holds the position of vice president at NERA Economic Consulting, Inc. in San Francisco, California.

Biography

Kenneth E. Train was born on November 14, 1951. He obtained his Bachelor's degree in economics from Harvard University in 1974 and earned his Master's and Doctoral degrees from The University of California, Berkeley in 1975 and 1977, respectively.

Professor Train specializes in econometrics and regulation, applying his expertise to the fields of energy, environmental studies, telecommunications, and transportation. From 1977 to 1994, he worked at Cambridge Systematics, Inc., eventually becoming the vice president. From 1994 to 1998, he served as the CEO of Xenergy, Inc. In 1998, he joined NERA Economic Consulting, Inc. as a consultant.

Since 1979, Train has been teaching at The University of California, Berkeley. He has published three books and over sixty articles. His latest book, "Discrete Choice Methods with Simulation," deals with a new area in econometrics. The software developed by Professor Train for estimating mixed logit models is available for free on the university's website and is widely used by researchers around the world. Several commercial statistical packages have recently added mixed logit procedures, thus reaching an even larger audience.

Professor Train has served as an expert witness in legal cases and regulatory proceedings. He has served on the editorial boards of scientific journals and has been the chair of the Center for Regulatory Policy at The University of California, Berkeley. He has received awards and honors for his teaching and research, including the Outstanding Teaching award from the Association of Student Economists at The University of California, Berkeley, the Outstanding Achievement award for energy software development, and the Richard Stone prize for the best articles in the Journal of Applied Econometrics in 2000 and 2001.

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