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Edited By James Heckman, University of Chicago, IL, U.S.A.; University College Dublin, Ireland Edward Leamer, University of California, Los Angeles, CA, USA
Description 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 6A 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.
Handbook of Econometrics is now available
online at ScienceDirect – full-text online from volume 1 onwards.
Audience
Graduates, academics and professionals with an interest in econometrics
Contents Preface
James J. Heckman
PART 18: Econometric Evaluation of Social Programs
Econometric Evaluation of Social Programs,
Part I: Causal Models, Structural Models and Econometric Policy Evaluation
James J. Heckman and Edward Vytlacil
Econometric Evaluation
of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Economic Estimators to Evaluate Social Programs
and to Forecast Their Effects in New Environments
James J. Heckman and Edward Vytlacil
Econometric Evaluation of Social Programs Part
III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation
Jaap Abbring and James J. Heckman
PART 19: Recent Advances in Econometric Methods
Nonparametric Identification
Rosa
Matzkin
Implementing Nonparametric and Semiparametric Estimators
Hidehiko Ichimura and Petra Todd
The Econometrics of Data Combination
Robert Moffitt and Geert Ridder
Large Sample Sieve Estimation of Semi-Nonparametric Models
Xiaohong Chen
Linear Inverse Problems
and Structural Econometrics Estimation Based on Spectral Decomposition and Regularization
Marine Carrasco, Jean-Pierre Florens, and Eric
Renault
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