Econometric analysis on the impact of income on the consumption of food and non-alcoholic beverages in Serbia

The subject of research is econometric analysis of consumption of food and non-alcoholic drinks of Serbian households. The aim of the paper is to quantify the impact of income on household expenditures in Serbia for food and non-alcoholic beverages. The underlying research hypothesis is that expendi...

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Bibliographic Details
Main Authors: Hanić Hasan, Bugarčić Milica
Format: Article
Language:English
Published: Srpsko udruženje za marketing 2019-01-01
Series:Marketing (Beograd. 1991)
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/0354-3471/2019/0354-34711904259X.pdf
Description
Summary:The subject of research is econometric analysis of consumption of food and non-alcoholic drinks of Serbian households. The aim of the paper is to quantify the impact of income on household expenditures in Serbia for food and non-alcoholic beverages. The underlying research hypothesis is that expenditure on food and non-alcoholic beverages grows slower than income from households. Household surveys in Serbia were used in the period from 2006 to 2018 as data sources carried out by the Statistical Office of the Republic of Serbia according to the methodology of the Agency for Statistics of the European Union. Apart from the descriptive analysis, which gives an overview of the share of household expenditures for the observed product group in the period 2006-2018, based on the seven different functional forms of Engel's equations of demand, the parameters of the impact of income on expenditures for the group "Food and non-alcoholic beverages" were evaluated, followed by the subgroups "Food" and "Non-alcoholic drinks" The theoretical and methodological and empirical contribution of this paper is primarily focused on the econometric analysis of the impact of income on household expenditure on the observed product group in Serbia, based on large annual samples of about 5,000 households and on models that adequately approximate the observed dependencies.
ISSN:0354-3471
2334-8364