Econometric applications of maximum likelihood methods:
The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models i...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1986
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| Schlagworte: | |
| Online-Zugang: | BSB01 UBG01 Volltext |
| Zusammenfassung: | The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xiii, 208 pages) |
| ISBN: | 9780511572050 |
| DOI: | 10.1017/CBO9780511572050 |
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| discipline | Mathematik Wirtschaftswissenschaften |
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| spelling | Cramer, J. S. 1928- Verfasser aut Econometric applications of maximum likelihood methods J.S. Cramer Cambridge Cambridge University Press 1986 1 online resource (xiii, 208 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own Geschichte gnd rswk-swf Econometrics Estimation theory Geschichte (DE-588)4020517-4 gnd rswk-swf Maximum-Likelihood-Schätzung (DE-588)4194624-8 gnd rswk-swf Volkswirtschaftslehre (DE-588)4078943-3 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Wirtschaftstheorie (DE-588)4079351-5 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maximum-Likelihood-Schätzung (DE-588)4194624-8 s Ökonometrie (DE-588)4132280-0 s 1\p DE-604 Ökonometrisches Modell (DE-588)4043212-9 s 2\p DE-604 Volkswirtschaftslehre (DE-588)4078943-3 s Geschichte (DE-588)4020517-4 s DE-604 Wirtschaftstheorie (DE-588)4079351-5 s Geschichte z Erscheint auch als Druckausgabe 978-0-521-25317-8 Erscheint auch als Druckausgabe 978-0-521-37857-4 https://doi.org/10.1017/CBO9780511572050 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cramer, J. S. 1928- Econometric applications of maximum likelihood methods Econometrics Estimation theory Geschichte (DE-588)4020517-4 gnd Maximum-Likelihood-Schätzung (DE-588)4194624-8 gnd Volkswirtschaftslehre (DE-588)4078943-3 gnd Ökonometrie (DE-588)4132280-0 gnd Wirtschaftstheorie (DE-588)4079351-5 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd |
| subject_GND | (DE-588)4020517-4 (DE-588)4194624-8 (DE-588)4078943-3 (DE-588)4132280-0 (DE-588)4079351-5 (DE-588)4043212-9 (DE-588)4143413-4 |
| title | Econometric applications of maximum likelihood methods |
| title_auth | Econometric applications of maximum likelihood methods |
| title_exact_search | Econometric applications of maximum likelihood methods |
| title_full | Econometric applications of maximum likelihood methods J.S. Cramer |
| title_fullStr | Econometric applications of maximum likelihood methods J.S. Cramer |
| title_full_unstemmed | Econometric applications of maximum likelihood methods J.S. Cramer |
| title_short | Econometric applications of maximum likelihood methods |
| title_sort | econometric applications of maximum likelihood methods |
| topic | Econometrics Estimation theory Geschichte (DE-588)4020517-4 gnd Maximum-Likelihood-Schätzung (DE-588)4194624-8 gnd Volkswirtschaftslehre (DE-588)4078943-3 gnd Ökonometrie (DE-588)4132280-0 gnd Wirtschaftstheorie (DE-588)4079351-5 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd |
| topic_facet | Econometrics Estimation theory Geschichte Maximum-Likelihood-Schätzung Volkswirtschaftslehre Ökonometrie Wirtschaftstheorie Ökonometrisches Modell Aufsatzsammlung |
| url | https://doi.org/10.1017/CBO9780511572050 |
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