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Generalized method of moments [[electronic resource] /] / Alastair R. Hall



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Autore: Hall Alastair R Visualizza persona
Titolo: Generalized method of moments [[electronic resource] /] / Alastair R. Hall Visualizza cluster
Pubblicazione: Oxford ; ; New York, : Oxford University Press, 2005
Descrizione fisica: 1 online resource (413 p.)
Disciplina: 330.015195
Soggetto topico: Moments method (Statistics)
Econometric models
Time-series analysis
Estimation theory
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references (p. 359-387) and indexes.
Nota di contenuto: Contents; 1 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 to Finite Sample Behaviour; 9 Empirical Examples; 10 Related Methods of Estimation; Appendix A: Mixing Processes and Nonstationarity; Bibliography; Author Index; Subject Index
Sommario/riassunto: 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 auth
Titolo autorizzato: Generalized method of moments  Visualizza cluster
ISBN: 1-383-03319-6
9786610965168
0-19-152511-1
1-280-96516-9
0-19-151393-8
1-4294-7047-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910824633103321
Lo trovi qui: Univ. Federico II
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Serie: Advanced texts in econometrics.