Learning Microeconometrics with R
About this ebook
Key Features:
- Focuses on the assumptions underlying the algorithms rather than their statistical properties.
- Presents cutting-edge analysis of factor models and finite mixture models.
- Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately.
- Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems.
- Introduces R programming concepts throughout the book.
- Includes appendices that discuss some of the standard statistical concepts and R programming used in the book.
About the author
Chris Adams was born and raised in Melbourne Australia and is a lifelong Carlton supporter. Chris received his PhD in economics from the University of Wisconsin - Madison. He has taught at the University of Vermont and in the Johns Hopkins’ Masters of Applied Economics program. He has 17 years experience working in merger regulation and antitrust for the US Federal Trade Commission. He is currently a Principal Analyst at the US Congressional Budget Office. Chris’ work and research focus on econometrics, empirical industrial organization, pharmaceutical innovation and auctions. His work has been published in various academic journals including The Econometrics Journal, Health Affairs, Health Economics, Marketing Science and Economics Letters. Chris is a colon cancer survivor and a research patient advocate with ECOG-ACRIN. Most importantly, he is a father to CJ and husband to Deena.
