The International Library of Critical Writings in Econometrics series – serie

This authoritative collection brings together the most important papers in time series econometrics published since 1990. These articles cover a range of central aspects of the field, concentrating in the main on theoretical and methodological developments. Taken together, they provide an overview of the current status of research in time series econometrics, emphasising those areas that appear to have attracted most recent interest in the profession.Volume I includes sections on unit root and stationarity tests; cointegration; structural breaks; nonlinearity; and long memory. Volume II covers conditional heteroskedasticity; stochastic volatility; unobserved components; trend function analysis; prediction; seasonality; and causality.These volumes will be essential reading for all who have an interest in this rapidly advancing subject.

In this landmark collection, the editor has selected the most influential papers on the econometrics of panel data published in the period from 1992-2001, thus providing an update on developments in the field since the two volumes edited by G.S. Maddala in 1993, which covered the period from 1966-1992.Topics covered in these latest volumes include core articles on dynamic panels and the generalized method of moments, heterogeneous panels, non-stationary panels including spurious regression, unit roots and tests for cointegration in panels, limited dependent variable models using panel data including models with censored endogenous variables and sample selection, non-linear panel data models, unbalanced panels, pseudo-panels and specification tests in panels.

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.

This volume comprises the classic articles on methods of identification and estimation of simultaneous equations econometric models. It includes path-breaking contributions by Trygve Haavelmo and Tjalling Koopmans, who founded the subject and received Nobel prizes for their work. It presents original articles that developed and analysed the leading methods for estimating the parameters of simultaneous equations systems: instrumental variables, indirect least squares, generalized least squares, two-stage and three-stage least squares, and maximum likelihood. Many of the articles are not readily accessible to readers in any other form.

This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory and computational theory. It is organized into seven sections: foundations, information theory and prior distributions; robustness and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian econometrics.

Economists have long sought to develop quantitative models of economic behaviour, which blend economic theory with data evidence. Econometric modelling of economic time series has strived to achieve this by seeking to discover sustainable and interpretable relationships. This important two-volume collection focuses on a central method used in selecting such models, namely simplification of an initially general model that adequately characterizes the empirical evidence within the investigators' theoretical framework. The volumes feature a wealth of evidence that has accrued over the last five years displaying its excellent abilities for model selection, based on Monte Carlo studies of automatic algorithms. These also throw light on several major methodological issues, and prompt many new ideas, which are discussed. The collection will be valuable to all empirical economists and econometricians.

The History of Econometrics is a two volume collection of major papers which have shaped the development of this subject. Part I includes articles which together provide an overview of the history of econometrics, part II addresses the relationship between econometrics and statistics, the articles in part III constitute early applied studies and part IV includes articles concerned with the role and method of econometrics.

The methodology of econometrics is concerned with rules governing the building of statistical models in economics. These two volumes draw together 62 previously published studies in economics and statistics. The volumes are divided into 12 sections covering controversial topics ranging from the earliest days of econometrics to the present. Sections include policy analysis, exogeneity, causality, Bayesian perspective and British econometrics.