National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Modelling dependent lives
Pavčová, Eva ; Mazurová, Lucie (advisor) ; Cipra, Tomáš (referee)
Title: Modelling Dependent Lives Author: Eva Pavčová Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Lucie Mazurová, Ph.D., Department of Probability and Mathematical Statistics Abstract: In this thesis, we model the dependence between the remaining lifetimes of a husband and wife using a specific Markov model. We examined the impact of the dependence on the net single premium using the specific Markov model that captures the long-term dependence between lifetimes of the two considered lives. Using this model we have calculated 10-year joint-life annuity due and 10-year last-survivor annuity due considering the age rage (37, 80) in case of dependence and also independence of the two considered lives. The calculations were based on the dataset related to the Czech population in 2015. The impact of the dependence between the remaining lifetimes of the husband and wife was found to be not significant. Keywords: positive quadrant depedence, multiple life insurance premiums, depen- dent lifetimes, joint-life annuity, last-survivor annuity, joint-life and last-survivor models
The impact of unemployment on a number of rapes in The Czech Republic
Táborská, Julie ; Stroukal, Dominik (advisor) ; Brožová, Dagmar (referee)
In my thesis I explore the impact of unemployment on a number of rapes in The Czech Republic. I use annual panel data of The Czech Republic for districts and regions for the period 2005 - 2011. I want to prove the hypothesis about positive correlation between the number of rapes and the unemployment rate. The second question is whether this dependence is more significant in the case of unemployment rate of men. The analysis was based on panel data by ordinary least squares. I found a positive relationship between basic variables in terms of district but not in the case of regions. I did not find significant effect of the unemployment rate of men.

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