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Semiparametric estimation and consumer demand

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Author Info
Richard Blundell (University College London and Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE, UK)
Alan Duncan (Department of Economics and Related Studies, University of York, Heslington, York YO1 5DD, UK)
Krishna Pendakur (Department of Economics, Simon Fraser University, Burnaby, BC, Canada, V5A 1S6)

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Abstract

This paper considers the implementation of semiparametric methods in the empirical analysis of consumer demand. The application is to the estimation of the Engel curve relationship and uses the British Family Expenditure Survey. Household composition is modelled using an extended partially linear framework. This is shown to provide a useful method for pooling non-parametric Engel curves across households of different demographic composition. © 1998 John Wiley & Sons, Ltd.

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File URL: http://qed.econ.queensu.ca:80/jae/1998-v13.5/
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Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 13 (1998)
Issue (Month): 5 ()
Pages: 435-461
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Handle: RePEc:jae:japmet:v:13:y:1998:i:5:p:435-461

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