Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/90822
Authors: 
Blundell, Richard
Browning, Martin
Crawford, Ian
Year of Publication: 
1997
Series/Report no.: 
IFS Working Papers W97/14
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.
JEL: 
D12
C14
C43
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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