Household characteristics and calorie intake in rural India: a quantile regression approach

dc.contributor.authorSinha, Kompalen_US
dc.date.accessioned2005-05-31en_US
dc.date.accessioned2006-03-27T02:14:39Zen_US
dc.date.accessioned2011-01-05T08:31:20Z
dc.date.available2006-03-27T02:14:39Zen_US
dc.date.available2011-01-05T08:31:20Z
dc.date.created2005en_US
dc.date.issued2005en_US
dc.description.abstractThe 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.en_US
dc.format.extent531407 bytesen_US
dc.format.extent354 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.format.mimetypeapplication/octet-streamen_US
dc.identifier.urihttp://hdl.handle.net/1885/43190en_US
dc.identifier.urihttp://digitalcollections.anu.edu.au/handle/1885/43190
dc.language.isoen_AUen_US
dc.subjecthousehold characteristicsen_AU
dc.subjectrural Indiaen_AU
dc.subjectqantile regressionen_AU
dc.subjectcalorie intakeen_AU
dc.titleHousehold characteristics and calorie intake in rural India: a quantile regression approachen_US
dc.typeWorking/Technical Paperen_US
local.citationno.2005/02en_US
local.contributor.affiliationANUen_US
local.contributor.affiliationASARC, RSPASen_US
local.description.refereednoen_US
local.identifier.citationmonthjanen_US
local.identifier.citationyear2005en_US
local.identifier.eprintid3119en_US
local.rights.ispublishednoen_US

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