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.
| Original language | English |
|---|---|
| Pages (from-to) | 1374-1390 |
| Number of pages | 17 |
| Journal | American Journal of Agricultural Economics |
| Volume | 93 |
| Issue number | 5 |
| Publication status | Published - Oct 2011 |
Keywords
- censoring demand elasticities gibbs sampling laids mcmc pakistan c11 c34 d12 non-negativity constraints binding nonnegativity constraints equation models coherency regression
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