Abstract for Research Paper 2004-17

Despite obvious theoretical shortcomings, the double-logarithmic function, because of ease of estimation and generally superior fit, is often the demand function of choice in applied demand analysis. However, the drawback to double-logarithmic demand functions is that they are not theoretically plausible, in that they are neither consistent with an underlying utility function nor additive (in the sense of satisfying the budget constraint). The purpose of this paper is to introduce a double-logarithmic demand system that is additive. This is accomplished through an extension of the Houthakker’s indirect addilog model that allows for all prices, not just the own-price of a good, to be included in each of the demand functions. The system is applied to a cross-sectional data set consisting of six exhaustive categories of consumption expenditure from the four quarterly BLS consumer expenditure surveys for 1996 augmented with price data collected in quarterly cost-of-living surveys conducted by ACCRA.


	An Additive Double-Logarithmic Consumer Demand System Lester D. Taylor
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	Abstract
	Despite obvious theoretical shortcomings, the double-logarithmic function, because of ease of estimation and generally superior fit, is often the demand function of choice in applied demand analysis. However, the drawback to double-logarithmic demand functions is that they are not theoretically plausible, in that they are neither consistent with an underlying utility function nor additive (in the sense of satisfying the budget constraint). The purpose of this paper is to introduce a double-logarithmic demand system that is additive. This is accomplished through an extension of the Houthakker’s indirect addilog model that allows for all prices, not just the own-price of a good, to be included in each of the demand functions. The system is applied to a cross-sectional data set consisting of six exhaustive categories of consumption expenditure from the four quarterly BLS consumer expenditure surveys for 1996 augmented with price data collected in quarterly cost-of-living surveys conducted by ACCRA.