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Nonparametric Engel Curves and Revealed Preference

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Author Info
Richard W. Blundell () (University College London, Department of Economics, London, and Institute for Fiscal Studies, London)
Martin Browning () (University of Copenhagen, Studiestraede, K, Denmark)
Ian A. Crawford () (Institute for Fiscal Studies, London, and cemmap)

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Abstract

This paper applies revealed preference theory to the nonparametric statistical analysis of consumer demand. Knowledge of expansion paths is shown to improve the power of nonparametric tests of revealed preference. The tightest bounds on indifference surfaces and welfare measures are derived using an algorithm for which revealed preference conditions are shown to guarantee convergence. Nonparametric Engel curves are used to estimate expansion paths and provide a stochastic structure within which to examine the consistency of household level data and revealed preference theory. An application is made to a long time series of repeated cross--sections from the Family Expenditure Survey for Britain. The consistency of these data with revealed preference theory is examined. For periods of consistency with revealed preference, tight bounds are placed on true cost of living indices. Copyright The Econometric Society 2003.

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Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 71 (2003)
Issue (Month): 1 (January)
Pages: 205-240
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Handle: RePEc:ecm:emetrp:v:71:y:2003:i:1:p:205-240

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  17. Whitney K. Newey & James L. Powell & Francis Vella, 1999. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Econometrica, Econometric Society, vol. 67(3), pages 565-604, May.
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