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Modal Split in Major Czech Cities: Thorough Analysis and Proposal of Policies Leading to Less Car-Dependent Urban Mobility
Bystřický, Vojtěch ; Ščasný, Milan (advisor) ; Šťastná, Lenka (referee)
This thesis focuses on examining the modal split in the five largest Czech cities. Using data from the first nationwide survey on travel behavior in the Czech Republic called Česko v pohybu, the author identifies the main factors which influence the mode choice of inhabitants of Czech cities. The data were evaluated using multinomial logistic regression. Since modal split studies of a large extent are mostly conducted in Western Europe, the United States or Asia-Pacific region, the main contribution of this thesis is to shed some light also on the travel behavior in the Central Europe, more precisely in the largest cities of the Czech Republic. The author analyzes the impact of socio-demographic variables, such as the respondents' age, education level or household income, as well as the importance of the variables related to the trip, such as trip purpose or trip distance. Further, the author also provides comparison of the travel behavior between the examined cities. Among other findings, the author finds that the entitlement to discounted public transport coupons through the ownership of a discount card does not have a significant effect on the probability of using public transport. Further, the results also show that higher education level does not lead to greater use of ecologically friendly...
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Modelling mortality by causes of death
Valter, Boris ; Mazurová, Lucie (advisor) ; Hurt, Jan (referee)
The aim of this thesis is to provide an overview of methods used in cause-of-death mortality analysis and to demonstrate the application on real data. In Chapter 1 we present the continuous model based on the force of mortality and review the approach using copula functions. In Chapter 2 we focus on the multinomial logit model formulated for cause-specific mortality data, discuss life tables construction and derive life expectancy. In Chapter 3 we apply the multinomial logit model on the data from Czech Statistical Office. We identify the regression model, check its assumptions, present the outputs including the fitted life expectancy, and predicted mortality rates. Later in Chapter 3 we consider several stress scenarios in order to demonstrate the impact of shocked mortality rates on the life expectancy. In Chapter 4 we apply copula functions according to the methodology covered in Chapter 1 and consider cause-elimination stress scenario.
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Attentional role of quota implementation
Matveenko, Andrei ; Mikhalishchev, S.
This paper introduces a new role of quotas, e.g., labor market quotas: the attentional role. We study the effect of quota implementation on the attention allocation strategy of a rationally inattentive (RI) agent. Our main result is that an RI agent who is forced to fulfill a quota never hires the candidates without acquiring information about them, unlike an unrestricted RI agent\nwho in some cases bases her decision on prior belief only. We also show that in our context quotas are equivalent to other types of affirmative policies such as subsidies and blind resume policy. We show how our results can be used to set a quota level that increases the expected value of the chosen candidate and also decreases statistical discrimination and discrimination in terms of how much attention is paid to each applicant. At the same time, quota implementation could be destructive if the social planner has imperfect information about the parameters of the model.\n
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Modelling mortality by causes of death
Valter, Boris ; Mazurová, Lucie (advisor) ; Hurt, Jan (referee)
The aim of this thesis is to provide an overview of methods used in cause-of-death mortality analysis and to demonstrate the application on real data. In Chapter 1 we present the continuous model based on the force of mortality and review the approach using copula functions. In Chapter 2 we focus on the multinomial logit model formulated for cause-specific mortality data, discuss life tables construction and derive life expectancy. In Chapter 3 we apply the multinomial logit model on the data from Czech Statistical Office. We identify the regression model, check its assumptions, present the outputs including the fitted life expectancy, and predicted mortality rates. Later in Chapter 3 we consider several stress scenarios in order to demonstrate the impact of shocked mortality rates on the life expectancy.
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The Economic Value of Crop Diversity in the Czech Republic
Tyack, Nicholas ; Ščasný, Milan (advisor) ; Šťastná, Lenka (referee)
We estimate the willingness-to-pay for conserving crop diversity in the Czech Republic. Discrete choice experiments are used to elicit preferences for the conservation of wine, hop, and fruit tree varieties, while a double-bounded dichotomous choice approach is used to elicit preferences for the conservation of unspecified, "general" crop diversity. The WTP values are derived for both of these contingent products from a sample representative of the general Czech population (n=731) and a sample of respondents living in the South Moravian region that is characterized by agriculture and wine production (n=418). We demonstrate a strong preference for conserving fruit trees over hops and wine varieties, and derive positive mean WTP of the general Czech population (ages 18-69) of 56 Kč ($2.26). Mean WTP for the conservation of general crop diversity is 167 Kč ($6.80). On average, residents of South Moravia have a greater WTP for "general" crop as well as fruit tree conservation. In total, the Czech adult population (ages 18-69) has an aggregate WTP of ~1.25 billion Kč ($50.5 million) for the conservation of general crop diversity, and ~410 million Kč ($16.8 million) for the conservation of fruit trees, revealing the previously unmeasured social welfare benefits of these activities. The estimated benefits...
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Willingness to pay for green electricity
Novák, Jan ; Ščasný, Milan (advisor) ; Gutiérrez Chvalkovská, Jana (referee)
We estimate the willingness to pay for electricity generated from renewable energy in the Czech Republic. Discrete choice experiment is used to elicit preferences for various attributes of renewable electricity support scheme (PM emission, GHG emission, size of RE power plant, revenue distribution, and costs). Original survey is carried with 404 respondents living in two regions - Ustecky (polluted area) and Southern Bohemia (cleaner area). We find that respondents prefer decentralized renewable electricity sources over centralized, local air quality improvements over reduction in greenhouse gas emissions. Estimated marginal willingness to pay for 1% reduction in emission of particulate matter equals to 49 CZK, respectively 3.7 % of average monthly electricity bill. In total, WTP for green electricity is larger than current compulsory contributions to renewable energy support scheme. Powered by TCPDF (www.tcpdf.org)
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