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Measuring the Value of a Statistical Life in the Czech Republic: A Hedonic Wage Approach
Špiroch, Jakub ; Havránek, Tomáš (advisor) ; Pertold-Gebicka, Barbara (referee)
To resolve the wage-risk trade off relationship on the labor market in Czech Republic, we introduce multiple hedonic wage regressions. Empirical theory ad- mits an income and age heterogeneity in value of a statistical life (VSL). This thesis employs a quantile regression along with age-dependent non-fatal and fa- tal on-the-job risk rates to estimate the age and income variation in VSL within a unified framework. Our results, based on EU-SILC 2018 data, implicate an inverted-V-shaped development of VSL with respect to age. The estimates of age-VSL peak for workers within the age cohort 42-47 across most real wage quantile levels and once reaching the maximum point the VSL proceeds to de- cline with age. In order to infer any effects of the global pandemic on VSL, we propose a set of novel COVID-19 control variables. Additionally, we annuitize the VSL estimates, which yields the value of a statistical life year (VSLY). The measures of VSLY correspond to the age and income varying trend of VSL. In conclusion, this thesis offers applicable varying VSL estimates across cohorts and wage distribution to policy-makers and respective authorities. JEL Classification J17, J24, J28, J31, J33 Keywords hedonic wage, compensating wage differential, quantile regression, VSL, income elasticity Title Measuring the...
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Analysis of Determinants of Carsharing
Špiroch, Jakub ; Chytilová, Julie (advisor) ; Hájek, Jan (referee)
Shared economy is a phenomenon becoming more prevalent in our society. The study explores the case of business-to-consumer (B2C) carsharing. Using a unique cross-sectional data set, which is compiled by aggregating several city- specific demographic and geographic factors, we construct several models which should be explanatory on the characteristics of cities, where car sharing is ac- tive and successful. Firstly, a logistic regression is employed to estimate the impact of predefined factors on the presence of B2C car sharing in a city. We find out that there is significantly positive relationship between the presence of prestigious university and active shared mobility platform. Furthermore, we introduce the OLS regression with log-level functional form to estimate, what determinants affect the quantity of cars in cities. Additionally, we provide explanation on demographic and geographical variables, which have the most defining impact on the prosperity of car-sharing. In conclusion, several sugges- tions on future research and studies based on carsharing success are presented. Keywords car-sharing, shared economy, B2C, Logit, OLS regression Author's e-mail spiroch.jakub@gmail.com Supervisor's e-mail julie.chytilova@cuni.cz
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