Household Characteristics and Calorie Intake in Rural India: A Quantile Regression Approach
Kompal Sinha
ASARC Working Papers from The Australian National University, Australia South Asia Research Centre
Abstract:
The present paper investigates the nutrition demand pattern for rural households in India. The non-parametric approach of quantile regression is applied to characterize the entire distribution of calorie consumption. This technique has an advantage over the traditional ordinary least square technique. It relaxes the assumption of a constant effect of the explanatory variables over the entire distribution of the dependent variable. These effects are allowed to vary over the entire distribution of dependent variable i.e., in this case the distribution of calorie consumption. The results show that indeed, the responsiveness of calorie consumption to various factors differs across different levels of calorie consumption. A comparison of the quantile regression results with OLS results suggests conclusions and policy suggestions based on OLS results are unlikely to be ideal. Some further light is also shed on the debate on calorie income elasticity as the magnitude is observed to be different for the undernourished and the over nourished households.
Pages: 55
Date: 2005
New Economics Papers: this item is included in nep-cwa and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://crawford.anu.edu.au/acde/asarc/pdf/papers/2005/WP2005_02.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pas:asarcc:2005-02
Access Statistics for this paper
More papers in ASARC Working Papers from The Australian National University, Australia South Asia Research Centre Contact information at EDIRC.
Bibliographic data for series maintained by Raghbendra Jha ( this e-mail address is bad, please contact ).