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Distraint in the Czech Republic
Košťál, Daniel ; Cahlík, Tomáš (advisor) ; Malovaná, Simona (referee)
Property distraint is an issue that anyone can face at any point of their life. Despite minor efforts to amend the situation, the Czech Republic continuously sees yearly increases in distraint orders against individuals who default on their debt. This thesis investigates possible meso-level factors that could influence the number of these issued orders. Using data on the 76 state districts plus the capital city of Prague, the overall influence of criminal activity, unemployment and financial literacy is estimated. This is achieved by using the ordinary least squares regression, as well as two other unobserved effects models. The empirical evidence then hints at favorable properties of the random effects model. The results confirm the main hypotheses that crime and unemployment are risk factors for distraint, and that financial literacy helps reduce these risks. Auxiliary data also hints at a certain level of correlation between debt default and immigration, which is up for a further deeper analysis. Keywords Property distraint, crime, unemployment, over-indebtedness, financial literacy Author's email: dkostal@gmail.com Supervisor's email: cahlik@fsv.cuni.cz
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Distraint in the Czech Republic
Košťál, Daniel ; Cahlík, Tomáš (advisor) ; Malovaná, Simona (referee)
Property distraint is an issue that anyone can face at any point of their life. Despite minor efforts to amend the situation, the Czech Republic continuously sees yearly increases in distraint orders against individuals who default on their debt. This thesis investigates possible meso-level factors that could influence the number of these issued orders. Using data on the 76 state districts plus the capital city of Prague, the overall influence of criminal activity, unemployment and financial literacy is estimated. This is achieved by using the ordinary least squares regression, as well as two other unobserved effects models. The empirical evidence then hints at favorable properties of the random effects model. The results confirm the main hypotheses that crime and unemployment are risk factors for distraint, and that financial literacy helps reduce these risks. Auxiliary data also hints at a certain level of correlation between debt default and immigration, which is up for a further deeper analysis. Keywords Property distraint, crime, unemployment, over-indebtedness, financial literacy Author's email: dkostal@gmail.com Supervisor's email: cahlik@fsv.cuni.cz
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