This completely restructured, updated third edition of The Econometrics of Panel Data, first published in 1992, provides a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Kuh, Mundlak, Hoch and Balestra and Nerlove, the pooling of cross section and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone.

This third, enhanced edition provides a complete and up to date presentation of theoretical developments as well as surveys about how econometric tools are used to study firms and household's behaviors. It contains eleven entirely new chapters while the others have been largely revised to account for recent developments in the field.

Auteur

Short CV László Mátyás

Current employer: Central European University, Academic ProRector (2003 onwards)
Department of Economics, Head of Department (October 1999-2003);
CEU University Professor of Econometrics (1999 onwards)
ERUDITE, Universite de Paris XII, Research Associate (1996 onwards);

Previous employers:
Ministry of Economic Affairs, Institute for Economic Analysis, Director and Deputy Under-Secretary of State, 1999 Jan.-Sept.;
Budapest University of Economics, Dept. of Business Economics, Associate Professor and then from 1997 Szechenyi Istvan and Full Professor of Econometrics 1989-2002 (on leave from 1991 to 1997);
Monash University, Melbourne, Australia, Dept. of Econometrics, Senior Lecturer, 1991-1997;
Research Institute for Agricultural Economics, Budapest, Senior Research Fellow 1982-1989;
ENSAE (Ecole Nationale de la Statistique et de l'Administration Economique), Paris, Researcher, 1985-1986;

Visiting positions:
University of Bonn, Germany (1987)
Universidad Autonoma de Madrid, and Instituto de Estudios Fiscales, Spain (1988)
Universite Paris XII, France (1995)

Teaching:
Econometrics and Basic Econometrics, Econometric Theory, Applied Econometrics, Micro-econometrics, and supervision of graduate and Ph.D. students.

Professional activities :

Associate Editor, European Economic Review, 2003 onwards,
Member of the Scientific Committee of the Bi-annual Conference Series on Panel Data, 1994 onwards,
Econometric Society, Regional Co-ordinator, Winter European Meetings, 2002 onwards,
Member of the Program Committee of the Econometric Society European Meeting (ESEM'92), 1992,
Chairman of the Program Committee of the Fourth Conference on Panel Data, Budapest, 1992,
Secretary of the Local Organizing Committee of the Econometric Society European Meeting (ESEM'86), 1986,
Guest Editor of the journal Structural Change and EconomicDynamics (Oxford University Press),
Refereeing for: the Australian Journal of Statistics, Applied Economics, Econometric Reviews, Journal of Econometrics, Empirical Economics, Journal of Applied Econometrics, Annales d'Economie et Statistique, Structural Change and Economic Dynamics, The World Economy, The Review of World Economics and the Hungarian Review of Statistics.

Short CV Patrick Sevestre

Doctor in economics mathematics and econometrics, with the aggregation of economics, Patrick Sevestre is Professor of Economics at the University Paris XII -Val de Marne (1994). He is also research fellow at l'ERUDITE, University Paris XII - Val de Marne, Consultant in the reserach center of Banque de France (since 1994) and teacher to the
CEPE, Centre d'Etude des Programmes Economiques (1991-1994 and since1996).

Résumé
The aim of this third, completely re-written, re-edited and considerably expanded, edition of this book is to provide a general overview of both the basics and - cent, more sophisticated, theoretical developments in panel data econometrics. It also aims at covering a number of ?elds of applications where these methods are used for improving our knowledge and understanding of economic agents' beh- iors. Since the pioneering works of Edwin Kuh (1959), Yair Mundlak (1961), Irving Hoch (1962), and Pietro Balestra and Marc Nerlove (1966), the pooling of cross s- tions and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate, reliable and informative results than would be achievable by one type of series alone. Over the last three decades of the last century, much fundamental work has been done: investigation of the properties of different estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. The more recent years and in particular the ten years elapsed since the second edition of this book have witnessed even more considerable changes. Indeed, our ability to estimate and test nonlinear models have dramatically improved and issues such as the unobserved heterogeneity in nonlinear models, attrition and selectivity bias have received considerable attention. This explains why the number of chapters dealing with such issues has increased in this third edition.

Contenu
Fundamentals.- Fixed Effects Models and Fixed Coefficients Models.- Error Components Models.- Endogenous Regressors and Correlated Effects.- The Chamberlain Approach to Panel Data: An Overview and Some Simulations.- Random Coefficient Models.- Parametric Binary Choice Models.- Advanced Topics.- Dynamic Models for Short Panels.- Unit Roots and Cointegration in Panels.- Measurement Errors and Simultaneity.- Pseudo-Panels and Repeated Cross-Sections.- Attrition, Selection Bias and Censored Regressions.- Simulation Techniques for Panels: Efficient Importance Sampling.- Semi-parametric and Non-parametric Methods in Panel Data Models.- Panel Data Modeling and Inference: A Bayesian Primer.- To Pool or Not to Pool?.- Duration Models and Point Processes.- GMM for Panel Data Count Models.- Spatial Panel Econometrics.- Applications.- Foreign Direct Investment: Lessons from Panel Data.- Stochastic Frontier Analysis and Efficiency Estimation.- Econometric Analyses of Linked EmployerEmployee Data.- Life Cycle Labor Supply and Panel Data: A Survey.- Dynamic Policy Analysis.- Econometrics of Individual Labor Market Transitions.- Software Review.