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1998•Journal of Applied EconometricsRequires access

Semiparametric estimation and consumer demand

Richard Blundell, Alan Duncan, Krishna Pendakur

Open publisher page 222 citations

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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What this paper is about

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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OpenAlex reports 222 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Engel curve, Pooling, Estimation, Econometrics, Semiparametric model, Economics, Parametric statistics, Consumer demand

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