An Introduction to the Structural Econometrics of Auction Data
This text, intended for both graduate students and professional researchers, is an effective, concise introduction to the structural econometrics of auctions. Tools from recent developments in theoretical econometrics are combined with established numerical methods to provide a practical guide to most of the main concepts in the empirical analysis of field data from auctions. Among other things, the text is remarkable for a large number of mathematical problems and computer exercises for which sample solutions are provided at the end of the book. In the case of the computer exercises, sample code written in Matlab provides a ready-made toolbox that allows readers to implement many existing empirical specifications efficiently.
In the first two chapters, the authors introduce several important issues in the analysis of field data from auctions and then go on to develop a simple theoretical model within the independent, private-values paradigm. In the third chapter, under several data-generating schemes, the authors outline empirical methods for analyzing data from single-unit Vickrey and English auctions, while in the fourth chapter, they outline methods for analyzing data from single-unit, Dutch, and first-price sealed-bid auctions. In the fifth chapter, the authors discuss theoretical issues important in the analysis of multi-good auctions, focusing on the analysis of multi-unit auctions, and then provide examples of some recent strategies designed to analyze data from these auctions. Included at the end are a number of appendixes that review the technical tools required in developing the topics treated in the text. A CD-ROM containing sample computer code and data sets accompanies the text.
About the Authors
After initial appointments at the University of British Columbia and the University of Western Ontario, Harry J. Paarsch held the position of Professor of Economics and Robert Jensen Research Fellow in the Henry B. Tippie College of Business at the University of Iowa and subsequently Chair in Economics at the University of Melbourne. From 2011 to 2014, he worked as an applied economist and data scientist for Amazon.com.
Han Hong is Associate Professor of Economics at Duke University.
—Kenneth L. Judd, Hoover Institution, Stanford University
—Philip J. Reny, Professor of Economics, University of Chicago
—John Rust, Professor of Economics, University of Maryland
—Patrick Bajari, Professor of Economics, University of Michigan