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|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.saea.org/|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- 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.
When requesting a correction, please mention this item's handle: RePEc:ags:saea13:143033. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.