Krüger, Jens J. (2015)
Survival Analysis in Product Life Cycle Investigations: An Assessment of Robustness for the German Automobile Industry.
Report, Erstveröffentlichung
Kurzbeschreibung (Abstract)
We apply various refinements of survival regression to assess the results of some basic specifications based on product life cycle theory for the case of a data set of the German automobile industry. The methods applied pay attention to biases in the coefficient estimates and the standard errors, the discrete nature of the duration data and the presence of unobserved heterogeneity. Robust estimation methods are also applied. We find that that the coefficient estimates and standard errors are not much affected by applying the refined estimators. The substantial results of a previous study with the same data are unchanged.
Typ des Eintrags: | Report |
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Erschienen: | 2015 |
Autor(en): | Krüger, Jens J. |
Art des Eintrags: | Erstveröffentlichung |
Titel: | Survival Analysis in Product Life Cycle Investigations: An Assessment of Robustness for the German Automobile Industry |
Sprache: | Englisch |
Publikationsjahr: | 22 Januar 2015 |
Ort: | Darmstadt |
Reihe: | Darmstadt Discussion Papers in Economics |
Band einer Reihe: | 223 |
URL / URN: | http://tuprints.ulb.tu-darmstadt.de/4703 |
Kurzbeschreibung (Abstract): | We apply various refinements of survival regression to assess the results of some basic specifications based on product life cycle theory for the case of a data set of the German automobile industry. The methods applied pay attention to biases in the coefficient estimates and the standard errors, the discrete nature of the duration data and the presence of unobserved heterogeneity. Robust estimation methods are also applied. We find that that the coefficient estimates and standard errors are not much affected by applying the refined estimators. The substantial results of a previous study with the same data are unchanged. |
Freie Schlagworte: | JEL classification: C41, C25, C14, L10, L62, O33 Keywords: firm survival, Cox regression, robustness assessment |
URN: | urn:nbn:de:tuda-tuprints-47032 |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 300 Sozialwissenschaften > 330 Wirtschaft |
Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete > Fachgebiet Empirische Wirtschaftsforschung |
Hinterlegungsdatum: | 13 Mär 2016 20:55 |
Letzte Änderung: | 09 Apr 2024 11:21 |
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