Three essays on policy evaluation and analysis
Author: | Vědunka Kopečná (9.3.2022) |
---|---|
Year: | 2022 - summer |
Leaders: | PhDr. Jaromír Baxa Ph.D. |
Consultants: | Mgr. Milan Ščasný PhD. |
Work type: | Dissertations |
Language: | English |
Pages: | 164 |
Awards and prizes: | |
Link: | |
Abstract: | This thesis consists of three articles sharing the main theme - evaluation of policies related to current issues both from micro and macroeconomic perspectives. The dissertation aims at the central European region. The first article presents a novel methodology of a hybrid dynamic computable general equilibrium model used to quantify socio-economic impacts of an emission abatement driven policy focused on adoption of electric vehicles in personal transport on the example of Austria. Heterogeneous micro-founded preferences are integrated into a dynamic computational general equilibrium model which is further linked to a bottom-up technology-rich electricity model and a stock-flow vehicle accounting model. Endogenously determined emissions from vehicle use, electricity generation, and production provide an input to quantify external costs attributable to air quality and carbon emissions using the Impact Pathway Analysis. The second article estimates the elasticity of substitution between capital, labour, energy and materials in the constant elasticity of substitution production function, which is being used in a majority of general equilibrium models. We use a non-linear estimation technique to derive these elasticities for the whole economy and for five different sectors, for the EU as a whole and for its two sub-regions - Western and Central and East European countries. The third article evaluates the public sector employment policy from a microeconomic perspective, and focuses on the project Internships for Young Job Seekers, as part of the program Youth Guarantee, which was intended as a help for students with transitioning from schools to the labour market thanks to internships in companies. The counterfactual evaluation quantifies the impacts of internships on personal income and economic status of trainees by using the propensity score matching, difference-in-differences estimation and two complementary methods – ordinary least squares and multinomial logit model. |