OVERREPRESENTATION MAPS AS A TOOL TO ANALYSIS OF EXPENDITURE STRUCTURE
OVERREPRESENTATION MAPS AS A TOOL TO ANALYSIS OF EXPENDITURE STRUCTURE
Author(s): Michał Gostkowski, Dominik SieradzkiSubject(s): Evaluation research, Transformation Period (1990 - 2010), Present Times (2010 - today), Socio-Economic Research
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: grade correspondence analysis; GCA, structure; consumer goods and services expenditures;
Summary/Abstract: In this article we made an approach to use tools of the grade data analysis to scrutinize structure of the consumer expenditures. Research material was taken from the Central Statistical Office of Poland database concerning expenditure of Polish households in the period of 1999–2015. Grade data analysis is treated as one of the multivariate data analysis methods and can be perceived as a method that is focused on fine visualization of the data in order to better understanding the interdependence that is contains. To do so, we used so-called overrepresentation maps. The analysis was conducted with taking into account time, class of the locality and socio-economic group. Conducted research showed the direction of changes in the average structure of the consumer expenditure.
Journal: Acta Scientiarum Polonorum. Oeconomia
- Issue Year: 17/2018
- Issue No: 1
- Page Range: 41-47
- Page Count: 8
- Language: English
