Scientific Papers

JOURNAL OF INTERNATIONAL STUDIES


© CSR, 2008-2019
ISSN: 2306-3483 (Online), 2071-8330 (Print)

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Logistic regression in the analysis of unexpected household expenses: Cross-country evidence

Vol. 13, No 3, 2020

 

Patrycja Kowalczyk-Rólczyńska

 

Department of Insurance,

Wroclaw University of Economics and Business,

Poland

patrycja.kowalczyk@ue.wroc.pl

ORCID 0000-0002-7952-7678


Logistic regression in the analysis of unexpected household expenses: Cross-country evidence

Tomasz Rólczyński

 

Department of Economics,

WSB University in Wroclaw,

Poland

tomasz.rolczynski@wsb.wroclaw.pl

ORCID 0000-0002-9926-8538

 

 

 

 

Abstract. Changes unfolding in the households’ structure coupled with the shifting role of the family have been affecting household financial decision-making. Among numerous financial decisions made by households (including consumption decisions, loan decisions, saving decisions, investment decisions and those on risk management), many are related to  financial resources spending. In a situation of unexpected expenses, financial problems may arise ultimately undermining household’s financial security. The paper pursues two objectives. The first one is to identify the factors determining households’ capacity to face sudden unexpected expenses. The second objective is to evaluate how the selected factors affect this capacity. To achieve these aims the Eurostat data were used . Given the fact that the dependent variable is a dichotomous one, a logistic regression model has been applied in this study. The findings served as the basis for identification of the factors that determine the ability of households to cope with unexpected expenditures. Only some of the factors proved statistically significant for all the Central and Eastern European countries under study.

 

Received: October, 2019

1st Revision: March, 2020

Accepted: June, 2020

 

DOI: 10.14254/2071-8330.2020/13-3/14

 

JEL ClassificationD12, D14, H31, C35

Keywordseconomic security, household, unexpected expenses, logistic regression