This book, by one of the
world's leading experts on dynamic panel data, presents a modern review of some of the
main topics in panel data econometrics. Part I deals with static models, Part II with time
series models with error components, and Part III with dynamics and predeterminedness. The
author concentrates on linear models, and emphasizes the roles of heterogeneity and
dynamics in panel data modelling. The book combines methods and applications, so will
appeal to both the academic and practitioner markets.
Readership: Researchers and graduate students of econometrics. Applied researchers in
government and industry.
Table of Contents
1 Introduction
Part I: Static Models
2 Unobserved Heterogeneity
3 Error Components
4 Error in Variables
Part II: Dynamic Models
5 Covariance Structures for
Dynamic Error Components
6 Autoregressive Models with
Individual Effects
7 Models with Predetermined
Variables
230 pages