Dynamic Nonlinear Econometric Models: Asymptotic Theory
Many relationships in economics, and also in other fields, are both dynamic and nonlinear. A major advance in econometrics over the last fifteen years has been the development of a theory of estimation and inference for dy namic nonlinear models. This advance was accompanied by improvements in comp...
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Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1997
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Ausgabe: | 1st ed. 1997 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | Many relationships in economics, and also in other fields, are both dynamic and nonlinear. A major advance in econometrics over the last fifteen years has been the development of a theory of estimation and inference for dy namic nonlinear models. This advance was accompanied by improvements in computer technology that facilitate the practical implementation of such estimation methods. In two articles in Econometric Reviews, i.e., Pötscher and Prucha {1991a,b), we provided -an expository discussion of the basic structure of the asymptotic theory of M-estimators in dynamic nonlinear models and a review of the literature up to the beginning of this decade. Among others, the class of M-estimators contains least mean distance estimators (includ ing maximum likelihood estimators) and generalized method of moment estimators. The present book expands and revises the discussion in those articles. It is geared towards the professional econometrician or statistician. Besides reviewing the literature we also presented in the above men tioned articles a number of then new results. One example is a consis tency result for the case where the identifiable uniqueness condition fails |
Beschreibung: | 1 Online-Ressource (XI, 312 p) |
ISBN: | 9783662034866 |
DOI: | 10.1007/978-3-662-03486-6 |
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author | Pötscher, Benedikt M. Prucha, Ingmar R. |
author_facet | Pötscher, Benedikt M. Prucha, Ingmar R. |
author_role | aut aut |
author_sort | Pötscher, Benedikt M. |
author_variant | b m p bm bmp i r p ir irp |
building | Verbundindex |
bvnumber | BV046873910 |
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dewey-full | 330.015195 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 330 - Economics |
dewey-raw | 330.015195 |
dewey-search | 330.015195 |
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dewey-tens | 330 - Economics |
discipline | Mathematik Wirtschaftswissenschaften |
discipline_str_mv | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-3-662-03486-6 |
edition | 1st ed. 1997 |
format | Electronic eBook |
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spelling | Pötscher, Benedikt M. Verfasser aut Dynamic Nonlinear Econometric Models Asymptotic Theory by Benedikt M. Pötscher, Ingmar R. Prucha 1st ed. 1997 Berlin, Heidelberg Springer Berlin Heidelberg 1997 1 Online-Ressource (XI, 312 p) txt rdacontent c rdamedia cr rdacarrier Many relationships in economics, and also in other fields, are both dynamic and nonlinear. A major advance in econometrics over the last fifteen years has been the development of a theory of estimation and inference for dy namic nonlinear models. This advance was accompanied by improvements in computer technology that facilitate the practical implementation of such estimation methods. In two articles in Econometric Reviews, i.e., Pötscher and Prucha {1991a,b), we provided -an expository discussion of the basic structure of the asymptotic theory of M-estimators in dynamic nonlinear models and a review of the literature up to the beginning of this decade. Among others, the class of M-estimators contains least mean distance estimators (includ ing maximum likelihood estimators) and generalized method of moment estimators. The present book expands and revises the discussion in those articles. It is geared towards the professional econometrician or statistician. Besides reviewing the literature we also presented in the above men tioned articles a number of then new results. One example is a consis tency result for the case where the identifiable uniqueness condition fails Econometrics Statistics for Business, Management, Economics, Finance, Insurance Economic Theory/Quantitative Economics/Mathematical Methods Game Theory, Economics, Social and Behav. Sciences Statistical Theory and Methods Statistics Economic theory Game theory Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Nichtlineares dynamisches System (DE-588)4126142-2 gnd rswk-swf Robustheit (DE-588)4126481-2 gnd rswk-swf Entscheidungsmodell (DE-588)4121201-0 gnd rswk-swf Asymptotische Statistik (DE-588)4203167-9 gnd rswk-swf Nichtlineares mathematisches Modell (DE-588)4127859-8 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 s Nichtlineares dynamisches System (DE-588)4126142-2 s Asymptotische Statistik (DE-588)4203167-9 s Robustheit (DE-588)4126481-2 s DE-604 Nichtlineares mathematisches Modell (DE-588)4127859-8 s Entscheidungsmodell (DE-588)4121201-0 s Prucha, Ingmar R. aut Erscheint auch als Druck-Ausgabe 9783642083099 Erscheint auch als Druck-Ausgabe 9783540628576 Erscheint auch als Druck-Ausgabe 9783662034873 https://doi.org/10.1007/978-3-662-03486-6 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Pötscher, Benedikt M. Prucha, Ingmar R. Dynamic Nonlinear Econometric Models Asymptotic Theory Econometrics Statistics for Business, Management, Economics, Finance, Insurance Economic Theory/Quantitative Economics/Mathematical Methods Game Theory, Economics, Social and Behav. Sciences Statistical Theory and Methods Statistics Economic theory Game theory Ökonometrisches Modell (DE-588)4043212-9 gnd Nichtlineares dynamisches System (DE-588)4126142-2 gnd Robustheit (DE-588)4126481-2 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Asymptotische Statistik (DE-588)4203167-9 gnd Nichtlineares mathematisches Modell (DE-588)4127859-8 gnd |
subject_GND | (DE-588)4043212-9 (DE-588)4126142-2 (DE-588)4126481-2 (DE-588)4121201-0 (DE-588)4203167-9 (DE-588)4127859-8 |
title | Dynamic Nonlinear Econometric Models Asymptotic Theory |
title_auth | Dynamic Nonlinear Econometric Models Asymptotic Theory |
title_exact_search | Dynamic Nonlinear Econometric Models Asymptotic Theory |
title_exact_search_txtP | Dynamic Nonlinear Econometric Models Asymptotic Theory |
title_full | Dynamic Nonlinear Econometric Models Asymptotic Theory by Benedikt M. Pötscher, Ingmar R. Prucha |
title_fullStr | Dynamic Nonlinear Econometric Models Asymptotic Theory by Benedikt M. Pötscher, Ingmar R. Prucha |
title_full_unstemmed | Dynamic Nonlinear Econometric Models Asymptotic Theory by Benedikt M. Pötscher, Ingmar R. Prucha |
title_short | Dynamic Nonlinear Econometric Models |
title_sort | dynamic nonlinear econometric models asymptotic theory |
title_sub | Asymptotic Theory |
topic | Econometrics Statistics for Business, Management, Economics, Finance, Insurance Economic Theory/Quantitative Economics/Mathematical Methods Game Theory, Economics, Social and Behav. Sciences Statistical Theory and Methods Statistics Economic theory Game theory Ökonometrisches Modell (DE-588)4043212-9 gnd Nichtlineares dynamisches System (DE-588)4126142-2 gnd Robustheit (DE-588)4126481-2 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Asymptotische Statistik (DE-588)4203167-9 gnd Nichtlineares mathematisches Modell (DE-588)4127859-8 gnd |
topic_facet | Econometrics Statistics for Business, Management, Economics, Finance, Insurance Economic Theory/Quantitative Economics/Mathematical Methods Game Theory, Economics, Social and Behav. Sciences Statistical Theory and Methods Statistics Economic theory Game theory Ökonometrisches Modell Nichtlineares dynamisches System Robustheit Entscheidungsmodell Asymptotische Statistik Nichtlineares mathematisches Modell |
url | https://doi.org/10.1007/978-3-662-03486-6 |
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