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Predicting Expenditure Patterns across the Income Spectrum using International Cross-Section Estimates

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  • Verma, Monika
  • Hertel, Thomas
  • Preckel, Paul

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.

Suggested Citation

  • Verma, Monika & Hertel, Thomas & Preckel, Paul, 2009. "Predicting Expenditure Patterns across the Income Spectrum using International Cross-Section Estimates," GTAP Working Papers 3171, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    • Handle: RePEc:gta:workpp:3171
    Note: GTAP Working Paper No. 57
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    File URL: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=3171
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    Cited by:

    1. Verma, Monika & Hertel, Thomas W., 2009. "Commodity Price Volatility and Nutrition Vulnerability," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49344, Agricultural and Applied Economics Association.
    2. Krause, Michael & Lotze-Campen, Hermann & Popp, Alexander, 2009. "Global cropland conversion in a spatially-explicit scenario on available land in an integrated modelling framework," Conference papers 331849, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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