This completely restructured, updated third edition of the volume 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 (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), 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.

Much work has been done over the last four decades: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models, the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific difficulties associated with the use of panel data are also explored, such as attrition, heterogeneity, selectivity bias, pseudo-panels etc. Recently, much work has been done about unit roots and co integration using panel data. Some other fields have also experienced a strong development such as the econometrics of policy evaluation and the analysis of qualitative and truncated dependent variable models, among others, which all are also discussed.

The third, enhanced edition provides a complete and up to date presentation of these theoretical developments as well as surveys about how these econometric tools are used to study firms and household s behaviors and/or more macroeconomic phenomena such as economic growth. It contains sixteen entirely new chapters while the others have been largely revised to account for recent developments in the field.

Part I is concerned with the fundamentals of panel data econometrics, both linear and non linear; Part II deals with more advanced topics such as dynamic models, simultaneity and measurement errors, unit roots and co integration, incomplete panels and selectivity, duration and count models, etc. This volume also provides insights into the use of panel data in empirical studies. Part III deals with surveys in several major fields of applied economics, such as investment demand, foreign direct investment and international trade, production efficiency, labour supply, transitions on the labour market, etc. Six new chapters about R&D and innovation, wages, health economics, policy evaluation, growth empirics and the impact of monetary policy have been included.

This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those involved in the use of panel data in econometrics.

This completely revised and enhanced second edition of the volume 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 (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), 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. Much work has been done over the last three decades: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific difficulties associated with the use of panel data are also explored, such as attrition, heterogeneity, selectivity bias, pseudo-panels etc. The second, enhanced edition provides a complete and up to date presentation of these theoretical developments. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, point processes, etc. Nine additional chapters about instrumental variables and generalized method of moments estimators, duration models, count data models, simulation methods, etc. have been included. This volume also provides insights into the use of panel data in empirical studies. Part III deals with surveys in several major fields of applied economics, such as labour and investment demand, labour supply, consumption, transitions on the labour market, and finance. Two new chapters about foreign investment and production frontiers have been included. Audience: The double emphasis of the book (theoretical and applied), together with the fact that all the chapters have been written by well-known specialists in the field, means that it will become a standard reference for all those concerned with the use of panel data in econometrics: advanced students, professional economists or researchers.

This volume 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 (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), 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. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific difficulties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc. have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, and point processes. The second objective is to provide insights into the use of panel data in empirical studies. Since the beginning, interest in panel data has been empirically based, and over time has become increasingly important in applied economic studies. This is demonstrated by growing numbers of conferences and special issues of economic journals devoted to the subject. Part III deals with studies in several major fields of applied economics, such as labour and investment demand, labour supply, consumption, transitions on the labour market, and finance. The double emphasis of this book (theoretical and applied), together with the fact that all the chapters have been written by well-known specialists in the field, ensure that it will become a standard textbook for all those who are concerned with the use of panel data in econometrics, whether they are advanced students, professional economists or researchers.