Applied Econometrics With SAS ― Modeling Demand, Supply, and Risk

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.

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. A. Ford Ramsey, PhD, is an assistant professor in the Department of Agricultural and Applied Economics at Virginia Polytechnic Institute and State University. His research interests are risk and insurance, agricultural economics, and applied econometrics. He has been a SAS user since 2012 and was a consultant for SAS from 2014 to 2017. He was honored with an Australian Agricultural and Resource Economics Society / Agricultural and Applied Economics Association Heading South Award and the National Science Foundation East Asia and Pacific Summer Institutes Fellowship. Professor Ramsey completed his PhD in economics at North Carolina State University in 2017.Jan Chvosta, PhD, is Senior Manager of Economics Technology Solutions, Advanced Analytics, in Research and Development at SAS. His research interests are econometric modeling, cross-sectional and panel data analysis, spatial econometrics, and high-performance computing. Dr. Chvosta was born in the Czech Republic. Shortly after receiving an MS in Informatics from the Czech University of Life Sciences in 1994, he relocated to the United States to pursue a career in economics and econometrics. He received an MS in applied economics from Montana State University in 1996. In 2004, he graduated from North Carolina State University with an MS in applied statistics and a PhD in economics.