Visualizing income determinants of Polish households

Krzysztof Karpio 1Piotr Łukasiewicz 2Arkadiusz J. Orłowski 1

1. Szkoła Główna Gospodarstwa Wiejskiego (SGGW), Nowoursynowska 166, Warszawa 02-787, Poland
2. Warsaw University of Life Sciences Faculty of Applied Informatics and Mathematics (SGGW), Nowoursynowska 159, Warszawa 02-776, Poland

Abstract

The original Grade Correspondence Analysis method (GCA) is utilized to classify Polish households basing on their incomes. One of the main advantages of the GCA is emphasis on the nontrivial visual interpretation of results. The set of households attributes is used to build so called concentration curves and overrepresentation maps. That allows us to easy recognize the importance of the attributes and their relation to incomes values. The results are compared to our previous analysis, based on decision trees.

 

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Presentation: Poster at 8 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych", by Krzysztof Karpio
See On-line Journal of 8 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"

Submitted: 2015-09-15 18:58
Revised:   2015-09-15 21:40