Abstract

The objective of this study is to analyze household demand system for Pakistan by estimating various elasticities of demand. This study combines nine different rounds of Household Integrated Economic Survey data to estimate Almost Ideal Demand System (AIDS). Household level data are supplemented with rich price information available for all the twelve months of the nine years. This approach yields efficient estimates of income and price elasticities, which are non-linear combinations of the parameters of AIDS. Standard errors for all the elasticity estimates are computed on the basis of Monte-Carlo simulations. The results show that household demand responses to income changes are similar between rural and urban households, while the response to price changes differ considerably. On average, rural households are found to be more responsive to price changes than the urban households. The study recommends that on equity grounds transport and communication and miscellaneous non-food goods and housing can be taxed more heavily as compared to other goods.

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