Director of Advanced Analytics R&D, SAS
Jan Chvosta, PhD, is Director of Advanced Analytics in R&D 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.
By This Author
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.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.