Barry K. Goodwin
William Neal Reynolds Distinguished Professor
North Carolina State University
Barry K. Goodwin, PhD, is the William Neal Reynolds Distinguished Professor in the Department of Agricultural and Resource Economics, as well as a Graduate Alumni Distinguished Professor in the Department of Economics, at North Carolina State University, where he teaches and conducts research on policy, risk, trade, and applied econometrics. He is a fellow and past president of the Agricultural and Applied Economics Association. He has coauthored three books and more than 150 peer-reviewed journal articles, receiving numerous research awards, including best article awards from the American Journal of Agricultural Economics , the Journal of Agricultural and Resource Economics, and the Canadian Journal of Agricultural Economics. Professor Goodwin completed his PhD in economics at North Carolina State University in 1988.
By This Author
Applied Econometrics with SAS®: Modeling Demand, Supply, and Risk
By Barry K. Goodwin, A. Ford Ramsey, and Jan Chvosta
Using Applied Econometrics with SAS®: Modeling Demand, Supply, and Risk, you will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics—demand, supply, and risk—a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques.
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Featured Authors
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.