Now in its fourth edition, this landmark text" "provides a fresh, accessible and well-written introduction to the subject. With a rigorous pedagogical framework, which sets it apart from comparable texts, the latest edition features an expanded website providing numerous real life data sets and examples.

This important reference work offers readers, researchers and students a thoughtful, balanced selection of core articles from the voluminous literature on panel data. The Econometrics of Panel Data will be welcomed by econometricians and economists as a central reference point and guide to current thinking. The first volume features work on variance components model, its extensions and applications, estimation of variances, dynamic models, instrumental variable estimators and random coefficient models. The second volume covers errors in variables and incomplete data, specification tests, limited dependent variables, frontier production functions and some practical problems with panel data. G.S. Maddala has chosen a series of key contributions by leading econometricians which guide the reader through the literature. As well as reproducing the central articles and papers, intact with their original pagination, the editor provides a comprehensive introduction and additional references which will allow students and researchers to pursue their studies further.

Time series analysis has undergone many changes during recent years with the advent of unit roots and cointegration. This textbook by G. S. Maddala and In-Moo Kim is based on a successful lecture program and provides a comprehensive review of these topics as well as structural change. G. S. Maddala is one of the most distinguished writers of graduate and undergraduate econometrics textbooks today and Unit Roots, Cointegration and Structural Change represents a major contribution that will be of interest both to specialists and graduate and undergraduate students.

This book presents the econometric analysis of single equation and simultaneous equation models where the jointly dependent variables can be continuous, categorical, or truncated.

This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated. Despite the traditional emphasis on continuous variables in econometrics, many of the economic variables encountered in practice are categorical (those for which a suitable category can be found but where no actual measurement exists) or truncated (those that can be observed only in certain ranges). Such variables are involved, for example, in models of occupational choice, choice of tenure in housing, and choice of type of schooling. Models with regulated prices and rationing, and models for program evaluation, also represent areas of application for the techniques presented by the author.