Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/23998
Authors: 
Wilke, Ralf A.
Year of Publication: 
2003
Series/Report no.: 
ZEW Discussion Papers 03-64
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.
Subjects: 
shape invariant modelling
semiparametric regression
simulations
large sample properties
consumer data
JEL: 
C14
D12
C31
Document Type: 
Working Paper

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