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Estimating willingness to pay for increasing probability to conceive
Kolářová, Natálie ; Ščasný, Milan (advisor) ; Šťastná, Lenka (referee)
The purpose of the thesis is to analyze preferences for increasing the probability of conceiving. Willingness to pay for increasing the probability of conceiving is estimated using the private good scenario and a new complex of vitamins and minerals as the contingent product. Specifically, we use the discrete choice experiment with three attributes: the increase in the probability of conceiving, the number of months of trying to conceive from when this probability will be increased, and the cost to be paid for this product. Data are obtained through a stated preference survey conducted in 2014 in four European countries (the Czech Republic, the United Kingdom, Italy, and the Netherlands). We estimate a mixed logit model, allowing for unobserved preference heterogeneity. We find that people are willing to pay to increase a female's probability of conceiving, and their willingness to pay is higher after 12 months of trying to conceive when one is becoming infertile. Respondents are willing to pay for increasing the chance to conceive even during the period when they are not diagnosed as infertile, i.e., from 6 months of trying to conceive, except in the Netherlands. Italians are willing to pay the most, while Dutch are willing to pay the least. By controlling for the main characteristics of...
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Determinants of divorce: Evidence from the Czech Republic
Kolářová, Natálie ; Votápková, Jana (advisor) ; Vávra, Jan (referee)
This bachelor thesis examines the determinants of divorce in the Czech Republic. Based on data on regional statistics that are publicly available by the Czech Statistical Office, it aims at explaining the variation in the crude divorce rate among the Czech districts and identifying its most important determinants. The main contribution of the present thesis is an econometric analysis of the latest panel data. A panel data of 77 cross-sectional units (districts) observed between 2004-2018 are analysed using a fixed effects panel data model. The results of the macroeconomic analysis reveal that the crude divorce rate is higher in districts with relatively more marriages, abortions and job applicants. Likewise, higher natural population increase and criminality cause a higher divorce rate. On the contrary, relatively more physicians and lower education level decrease the divorce rate. However, the majority of variation explained by the model has roots in unobserved factors - individual and time effects. Surprisingly, Prague is not recognised as an outlier since the results appear comparable for both its inclusion and exclusion. JEL Classification C33, J12 Keywords divorce, marriage, Czech Republic, regional analysis Title Determinants of divorce: Evidence from the Czech Republic
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