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GTAP Resource #3171

"Predicting Within Country Household Food Expenditure Variation Using International Cross-Section Estimates"
by Verma, Monika, Thomas Hertel and Paul Preckel


Abstract
There is a long and distinguished literature involving demand analysis using international cross-section data. Such models are widely used for predicting national per capita consumption. However, there is nothing in this literature testing the performance of estimated models in predicting demands across the income spectrum within a single country. This paper fills the gap. We estimate an AIDADS model using cross-section international per capita data, and find that it does well in predicting food demand across the income distribution within Bangladesh. This suggests that there may be considerable value in using international cross-section analysis to study poverty and distributional impacts of policies.


Resource Details (Export Citation) GTAP Keywords
Category: Working Paper
Status: Published
By/In: GTAP Working Paper No. 57; Economics Letters
Date: 2011
Version: revised version 1
Created: Batta, G. (9/3/2009)
Updated: Batta, G. (8/13/2012)
Visits: 20,435
- Economic analysis of poverty
- Calibration and parameter estimation
- Asia (South-Central)


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  File format GTAP Working Paper No. 57  (338.4 KB)   Replicated: 0 time(s)


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