Bayesian Estimation of a Censored Linear Almost Ideal Demand System: Food Demand in Pakistan

Panagiotis Kasteridis, Steven T. Yen and Cheng Fang

American Journal of Agricultural Economics, 2011, vol. 93, issue 5, 1374-1390

Abstract: A censored linear almost ideal demand system for food is estimated with a Bayesian Markov chain Monte Carlo procedure, using a sample of urban households from Pakistan. All own-price elasticities but one are found to be negative, and all total food expenditure elasticities are found to be positive, with a high posterior probability. There is a mix of gross complements and substitutes among the food products, while net substitution is the predominant pattern. Household characteristics play a role in food expenditures, and regional differences exist. These demand elasticities can inform policy deliberations by the national government and international organizations. Copyright 2011, Oxford University Press.

Date: 2011
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