4.4 Article

Estimating demand response with panel data

Journal

EMPIRICAL ECONOMICS
Volume 31, Issue 4, Pages 1043-1060

Publisher

PHYSICA-VERLAG GMBH & CO
DOI: 10.1007/s00181-006-0067-4

Keywords

conditional linearity; demand analysis; panel data; unobserved heterogeneity

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In this paper, we extend to panel data the iterated linear least squares estimator of Blundell and Robin (in J Appl Econometrics 14: 209-232 1999). It is shown to be consistent when total expenditure and regression residuals are correlated, either because of simultaneity or because of unobserved heterogeneity. We propose separate tests for these two effects. Monte Carlo experiments are then conducted and the estimator is applied to data drawn from a French Consumer Panel.

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