Full Description
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.
Contents
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 Employer-Employee Data.- Life Cycle Labor Supply and Panel Data: A Survey.- Dynamic Policy Analysis.- Econometrics of Individual Labor Market Transitions.- Software Review.
