Determinants of crime rate in Poland. Analysis using regression trees

Kinga Kądziołka

Ekonomia journal, 2016, vol. 45

Abstract: The aim of this article is to identify relationships between crime rate and some socio-economic, demographic and environmental factors in the poviats of Poland. There were analysed cross – sectional data using regression tree. The following factors were found to significantly explain the intensity of crime rate: urbanisation, percentage of single-person households, provided accommodation per 1000 population, divorce’s coefficient and the intensity of crime in the neighboring areas. Then the random forest was used to improve prediction’s accuracy and generate rank of variable importance.

Keywords: crime rate; regression tree; random forest; determinants of crime (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://ekonomia.wne.uw.edu.pl/ekonomia/getFile/786 (application/pdf)
no

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eko:ekoeko:45_53

DOI: 10.17451/eko/45/2016/186

Access Statistics for this article

More articles in Ekonomia journal from Faculty of Economic Sciences, University of Warsaw Contact information at EDIRC.
Bibliographic data for series maintained by ().