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OverviewFull Product DetailsAuthor: Alastair R. Hall (North Carolina State University)Publisher: Oxford University Press Imprint: Oxford University Press Dimensions: Width: 15.70cm , Height: 2.30cm , Length: 23.30cm Weight: 0.637kg ISBN: 9780198775201ISBN 10: 0198775202 Pages: 416 Publication Date: 23 December 2004 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: To order ![]() Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of Contents1: Introduction 2: The Instrumental Variable Estimator in the Linear Regression Model 3: GMM Estimation in Correctly Specified Models 4: GMM Estimation in Misspecified Models 5: Hypothesis Testing 6: Asymptotic Theory and Finite Sample Behaviour 7: Moment Selection in Theory and in Practice 8: Alternative Approximations in Finite Sample Behaviour 9: Empirical Examples 10: Related Methods of Estimation Appendix: Mixing processes and NonstationarityReviewsHall's book gives a consistent and accurate account of the academic developments, especially in the time series area, and clearly fills a niche. The level required is that of a graduate student with a good background in econometrics. Rosario dell'Aquilla, Journal of the American Statistical Association Overall, the book is well written, very readable and well organized. In each chapter the author conveys the essential ideas at the beginning and the end of the chapter, and the reader is guided smoothly to the research frontier. Similarly, before stating new theorems and proving them, the author describes the basic ideas clearly, making the book very readable. Rosario dell'Aquilla, Journal of the American Statistical Association In summary, Generalized Method of Moments is an excellent and readable graduate text and reference book, especially suited for those researchers using GMM in a time series context in finance and macroeconomics. Rosario dell'Aquilla, Journal of the American Statistical Association Gerneralized Method of Moments is a highly readable textbook level introduction to the vast literature on GMM for the time series. It is a welcome edition not only the the Advanced Texts in Econometrics series published by Oxford University Press, but also to the list of textbooks suitablefor use in a graduate course in time series econometrics. Michael Jansson, Journal of Economic Literature The book can be highly recommended to all who are either interested in the statistical properties of GMM estimators as well as to those who intend to use this technique for empirical research. Herbert Buscher, Zentralblatt MATH 1076 Hall's book gives a consistent and accurate account of the academic developments, especially in the time series area, and clearly fills a niche. The level required is that of a graduate student with a good background in econometrics. Rosario dell'Aquilla, Journal of the American Statistical Association Overall, the book is well written, very readable and well organized. In each chapter the author conveys the essential ideas at the beginning and the end of the chapter, and the reader is guided smoothly to the research frontier. Similarly, before stating new theorems and proving them, the author describes the basic ideas clearly, making the book very readable. Rosario dell'Aquilla, Journal of the American Statistical Association In summary, Generalized Method of Moments is an excellent and readable graduate text and reference book, especially suited for those researchers using GMM in a time series context in finance and macroeconomics. Rosario dell'Aquilla, Journal of the American Statistical Association Gerneralized Method of Moments is a highly readable textbook level introduction to the vast literature on GMM for the time series. It is a welcome edition not only the the Advanced Texts in Econometrics series published by Oxford University Press, but also to the list of textbooks suitablefor use in a graduate course in time series econometrics. Michael Jansson, Journal of Economic Literature The book can be highly recommended to all who are either interested in the statistical properties of GMM estimators as well as to those who intend to use this technique for empirical research. Herbert Buscher, Zentralblatt MATH 1076 Author InformationAlastair R. Hall is Professor of Economics at North Carolina State University, where he has taught since 1985. He has also visited at the University of Pennsylvania, the University of Wisconsin-Madison's Graduate School of Business, and at the University of Birmingham. Tab Content 6Author Website:Countries AvailableAll regions |