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Survival Analysis in Product Life Cycle Investigations: An Assessment of Robustness for the German Automobile Industry

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
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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