An Introduction to the Structural Econometrics of Auction Data

an introduction to the structural econometrics of auction data

more information about An Introduction to the Structural Econometrics of Auction Data

An Introduction to the Structural Econometrics of Auction Data

Editorial Reviews
Book Description
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 Author
Harry J. Paarsch is Professor of Economics and Robert Jensen Research Fellow at the Henry B. Tippie College of Business, University of Iowa. Han Hong is Associate Professor of Economics at Duke University. M. Ryan Haley is Assistant Professor of Economics at the University of Wisconsin-Oshkosh.

An Introduction to the Structural Econometrics of Auction Data,Harry J. Paarsch,Han Hong,M. Ryan Haley,The MIT Press,0262162350,Auctions,Business & Economics,Business / Economics / Finance,Business/Economics,Econometric models,Economics - General,Finance,Industries - Retailing,Business & Economics / Economics / General,Econometrics,Retail sector

Hot Books:

  1. Annual Editions : Macroeconomics 05/06 (Macroeconomics)
  2. Another World is Possible: Popular Alternatives to Globalization at the World Social Forum
  3. A Not-so-dismal Science : A Broader View of Economies and Societies
  4. AP Government & Politics (REA) - The Best Test Prep for the Advanced Placement (Test Preps)
  5. Applied Choice Analysis : A Primer
  6. Applied Computational Economics and Finance
  7. Applied Econometric Time Series, 2nd Edition
  8. Applied Environmental Economics : A GIS Approach to Cost-benefit Analysis
  9. Applied Methods for Trade Policy Analysis : A Handbook
  10. Applied Regression Analysis for Business and Economics

Hot Books

Hot Books

Recommended Books

  1. Digital Photography: The Kodak Workshop Series
  2. The Best New Animation Design 2
  3. Men! 2006 Calendar
  4. Dun & Bradstreet Guide to Your Investments 1999 : The Year-Round Investment Sourcebook for Manag
  5. Fixing Financial Crises in the 21st Century
  6. Natural Rubber
  7. Life Scientists: Their Convictions, Their Activities and Their Values
  8. Models for Concurrency
  9. Pullers: A Novel
  10. Star Dust
  11. Positive Reinforcement: Training Dogs in the Real World
  12. Ortho's All About Creating Japanese Gardens
  13. Miyamoto Musashi : His Life and Writings
  14. Public Opinion And Political Change In China
  15. Melatonin and the Mammalian Pineal Gland