Richard Blundell (Department of Economics, University College London) Martin Browning (Institute of Economics, University of Copenhagen) Ian Crawford (Institute for Fiscal Studies)
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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 wit revealed preference theory is examined. For periods of consistency with revealed preference, tight bounds are placed on true cost of living indices.
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Paper provided by University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics in its series CAM Working Papers with number
2002-04.
Find related papers by JEL classification: D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
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