Handbook of Econometrics Handbook of Econometrics Series

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6B offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.

Nonparametric Approaches to Auctions (Susan Athey and Philip Haile)
Intertemporal Substitution and Risk Aversion (Lars Hansen , John Heaton, Nikolai Roussanov and Junghoon Lee)
A Practitioner's Approach to Estimating Intertemporal Relationships Using Longitudinal Data: Lessons from Applications in Wage Dynamics (Thomas MaCurdy)
Econometric Tools for Analyzing Market Outcomes (Daniel Ackerberg, Lanier Benkard, Steven Berry and Ariel Pakes)
Structural Econometric Modeling: Rationales and Examples from Industrial Organization (Peter Reiss and Frank Wolak)
Microeconometric Models of Investment and Employment (Stephen Bond and John Van Reenen)
The Measurement of Productivity for Nations (Erwin Diewert and Alice Nakamura)
Linking the Theory with the Data: That's the Core Problem of International Economics (Edward Leamer)
Models of Aggregate Economic Relationships that Account for Heterogeneity (Richard Blundell and Thomas Stoker)
Estimation and Specification in Labor Supply and Consumption Models (Richard Blundell, Thomas MaCurdy, and Costas Meghir)

Graduates, academics and professionals with an interest in econometrics

James J. Heckman is the Henry Schultz Distinguished Service Professor of Economics at The University of Chicago. His recent research deals with such issues as evaluation of social programs, econometric models of discrete choice and longitudinal data, the economics of the labor market, and alternative models of the distribution of income. Professor Heckman has received numerous awards for his work, including the John Bates Clark Award of the American Economic Association in 1983, the 2000 Nobel Memorial Prize in Economic Sciences (with Daniel McFadden), the 2005 Jacob Mincer Award for Lifetime Achievement in Labor Economics, the 2005 University College Dublin Ulysses Medal , and the 2005 Aigner award from the Journal of Econometrics.
Edward Leamer is the Chauncey J. Medberry Professor of Management, Professor of Economics and Professor of Statistics at UCLA. He received a B.A. degree in mathematics from Princeton University and a Ph.D. degree in economics and an M.A. degree in mathematics from the University of Michigan. After serving as Assistant and Associate Professor at Harvard University he joined the University of California at Los Angeles in 1975 as Professor of Economics and served as Chair from 1983 to 1987. In 1990 he moved to the Anderson Graduate School of Management and was appointed to the Chauncey J. Medberry Chair. Professor Leamer is a Fellow of the American Academy of Arts and Sciences, and a Fellow of the Econometric Society. He is a Research Associate of the National Bureau of Economic Research and a visiting scholar at the International Monetary Fund and the Board of Governors of the Federal Reserve System. He is currently serving as the Director of the UCLA Anderson Forecast.

Dr. Leamer has published over 100 articles and 4 books . This research has been supported by continuous grants for over 25 years from the National Science Foundation, the Sloan Foundation and the Russell Sage Foundation. His research papers in econometrics have bee

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