Heteroskedasticity-Consistent Estimation of the Variance-Covariance Matrix for the Almost Ideal Demand System

Working Paper: NBER ID: w2401

Authors: Melvyn A. Fuss

Abstract: In this note I demonstrate the previously overlooked fact that if the AIDS aggregate demand model is constructed as the aggregation of individual consumer demands, then the error structure for any individual equation is necessarily heteroskedastic unless the distribution of income is constant across aggregates. Maximum likelihood estimation which ignores this heteroskedasticity yields inconsistent estimates of the variance-covariance matrix and renders likelihood ratio tests of the restrictions of consumer demand theory inappropriate. A heteroskedasticity-consistent estimator of the variance-covariance matrix is proposed by adopting the technique of White (1980) to the case at hand.

Keywords: Heteroskedasticity; Demand System; Variance-Covariance Matrix

JEL Codes: C13; D12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Income distribution (D31)Heteroskedasticity (C21)
Ignoring heteroskedasticity (C20)Inconsistent variance-covariance estimates (C51)
Heteroskedasticity (C21)Validity of likelihood ratio tests (C52)

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