Food consumption depending on the size of household

Abstract
This article presents structural parameters of linear causal-descriptive models estimated for 45 assortment groups. The computation was carried out separately for subsequent years from 2006 to 2015 and was based on data from the Central Statistical Office of Poland. The models were verified by assessing the fitting theoretical values to empirical data and checking the significance of structural parameter associated with the independent variable. As a result, food categories were determined for which linear function is a good approximation describing the stochastic relationship between the consumption per capita and the size of household as well as such food items for which the relationship is nonlinear. The first group consists of 39 out of 45 assortment items, and the second one includes only six items, namely: bread, flour, milk, potatoes, beetroots and sugar.
Description
Keywords
food consumption  size of household  linear causal-descriptive model  regression model  verification of econometric model
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