What Affects Debt Enforcement Proceedings? Evidence from the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10252557" target="_blank" >RIV/61989100:27510/23:10252557 - isvavai.cz</a>
Result on the web
<a href="https://sciendo.com/article/10.2478/revecp-2023-0003" target="_blank" >https://sciendo.com/article/10.2478/revecp-2023-0003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/revecp-2023-0003" target="_blank" >10.2478/revecp-2023-0003</a>
Alternative languages
Result language
angličtina
Original language name
What Affects Debt Enforcement Proceedings? Evidence from the Czech Republic
Original language description
This paper aims to identify the factors contributing to the unusually high prevalence of over-indebtedness and debt enforcement proceedings in the Czech Republic at the granular geographic level of extended-powers municipalities (ORP). The main reason for this level is simple, not to lose information about differences among the municipalities,since there is quite a sharp contrast even within the same regions. The dependent variable is the share of people with one or more debt enforcement proceedings outstanding against them. We employ a set of explanatory variables including long-term unemployment, socially excluded localities, regional GDP per capita, education level, and a proxy for distance to the local economic center. The results are estimated using panel data regression with random effects, due to the time-invariant nature of certain variables. Because of poor data availability for some variables at this highly localized level, we make several assumptions; for example, we transfer the regional GDP per capita values to all ORPs in the region. Similar problems arise with education level, where we use data from the 2011 national census. Even with these data restrictions, our set of explanatory variables is shown to be statistically significant with the expected coefficient signs. GDP per capita and higher education level have a negative impact on the prevalence of debt enforcement proceedings, while long-term unemployment, the number of socially excluded localities in the area, and the distance-to-center proxy have a positive effect.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Review of Economic Perspectives
ISSN
1213-2446
e-ISSN
1804-1663
Volume of the periodical
23
Issue of the periodical within the volume
2
Country of publishing house
PL - POLAND
Number of pages
15
Pages from-to
89-103
UT code for WoS article
001014947500001
EID of the result in the Scopus database
2-s2.0-85176772587