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Nichtparametrische Analyse parametrischer Wachstumsfunktionen: Eine Anwendung auf das Wachstum des globalen Netzwerks Internet

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  • Brachmann, Klaus

Abstract

Besonders in der betriebswirtschaftlich relevanten Marktanalyse besteht ein großer Bedarf an möglichst einfachen Prognoseverfahren z. B. in Form von endogenen, d. h. alleine von der Zeit abhängigen, Wachstumsfunktionen. Der hier vorgestellte Test dient dazu, diejenigen Funktionen auszuwählen, welche den vorliegenden Sachverhalt hinreichend gut zu beschreiben vermögen. Dabei zeigt sich in einer empirischen Anwendung, daß dasWachstum des globalen Netzwerks Internet tatsächlich durch Exponential- bzw. logistische Funktionen zu beschreiben ist.

Suggested Citation

  • Brachmann, Klaus, 1995. "Nichtparametrische Analyse parametrischer Wachstumsfunktionen: Eine Anwendung auf das Wachstum des globalen Netzwerks Internet," Discussion Papers in Econometrics and Statistics 5/95, University of Cologne, Institute of Econometrics and Statistics.
    • Handle: RePEc:zbw:ucdpse:9505
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    1. Eric Malin & Michel Bonneu & Michel Delecroix, 1993. "Semiparametric Versus Nonparametric Estimation in Single Index Models, a Computational Approach," Post-Print halshs-00440469, HAL.
    2. Härdle, W. & Marron, S.J., 1990. "Semiparametric comparison of regression curves," LIDAM Reprints CORE 890, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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