The Determinants of Food Expenditures in the Urban Households of Ghana: A Quantile Regression Approach
The study applies quantile regression to identify determinants of the entire distribution of food expenditure, and quantify their effects amongGhana’s urban household subgroups. The results indicate that among the significant factors the largest effect in descending order havelocation, marital status, education, household composition, age, and income.
|Date of creation:||2013|
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- Jayachandran N. Variyam & James Blaylock & David Smallwood, 2002. "Characterizing the Distribution of Macronutrient Intake among U.S. Adults: A Quantile Regression Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 454-466.
- Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(03), December.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
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