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Heterogeneous Demand for Food Diversity: A Quantile Regression Analysis AgEcon
Drescher, Larissa S.; Goddard, Ellen W..
Poverty and inequality studies frequently use the quantile regression approach to provide results on the impact of determinants at different points of the distribution of a dependent variable. To innovate diversity research this paper uses quantile regressions to identify determinants at different points of the food diversity distribution. Regional and household level differences in demand for food diversity are analysed based on a pooled sample of Canadian data of the Family Food Expenditure Surveys of Statistics Canada. Simple OLS regressions show that the determinants of Canadian diversity demand are similar to those of other developed countries. However, with quantile regressions significantly different effects of independent variables on diversity...
Tipo: Conference Paper or Presentation Palavras-chave: Household demand; Food diversity; Quantile regressions; Pooled samples; Canada; Haushaltsnachfrage; Lebensmittelvielfalt; Quantil-Regressionen; Gepoolte Daten; Kanada; Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety.
Ano: 2011 URL: http://purl.umn.edu/114484
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