Semiparametric Estimation of Regression Functions Under Shape Invariance Restrictions


Wilke, Ralf A.


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URL: https://ub-madoc.bib.uni-mannheim.de/146
URN: urn:nbn:de:bsz:180-madoc-1468
Document Type: Working paper
Year of publication: 2003
Publication language: English
Institution: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
MADOC publication series: Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Subject: 330 Economics
Classification: JEL: C14 C31 D12 ,
Subject headings (SWD): Regressionsfunktion
Abstract: This paper considers the shape invariant modelling approach in semiparametric regression estimation. Nonparametric functions of similar shape are linked by parametric transformations with unknown parameters. A computationally convenient estimation procedure is suggested. √N- consistency of the parameter estimates is proved. Finite sample performance of this estimator is investigated by simulations. An application to consumer data illustrates the importance of this method for applied statistics. Estimations indicate that the imposed shape invariance restrictions have empirical evidence in the semiparametric modelling of consumer demand.
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Wilke, Ralf A. (2003) Semiparametric Estimation of Regression Functions Under Shape Invariance Restrictions. Open Access [Working paper]
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