Work in progress
Bill Complexity and Voting
Current research on the quality of politicians identifies education as a major factor leading to good performance. However, the role of education still remains to a large degree unexplored as there is lack of empirical evidence directly linking politician's background, her voting behavior, and performance. This paper studies activity of politicians of different education levels in the Danish parliament in the light of varying complexity of the legislative proposal they vote on. Parliamentary setting allows for a high degree of comparability and transparency regarding individual actions. Using several complexity measures, I show that for low-educated politicians an increase in legal and linguistic complexities seems to contribute to confusion about the proposal. This pattern, however, diminishes with higher education, whereas text length remains to be a major demotivating factor across all groups. I find evidence suggesting only secondary-educated politicians respond to increased complexity with an increased effort. Politicians with a higher degree are not affected by complexity.
Practical Introduction to Mathematics, Logic, and Statistics for Sociology and Social Sciences, Karolinum, Charles University Press, 2019(In Czech: “Základy matematiky, logiky a statistiky pro sociologii a ostatní společenské vědy v příkladech”), with J. Hendl, M. Moldan, T. Ranošová, J. Siegl, and J. Žáček
Introductory textbook for courses at the Institute of Sociological Studies of the Faculty of Social Sciences of Charles University
Smoking Czechs: Modelling Tobacco Consumption and Taxation, Prague Economic Papers, 2019, 28(1), 3-29. (pre PhD - based on my bachelor thesis)with Karel Janda
We model the future tobacco consumption, size of smoking population and governmental tax revenues in the Czech Republic. The main model assumption states that smokers determine their future tobacco consumption behaviour as adolescents. Further assumptions make the model applicable to the data from the Czech National Monitoring Centre for Drugs and Drug Addiction. Future teenage smoking rates and average consumption are the inputs to the model; consumption growth coefficients for each age category are estimated using zero-inflated negative binomial regression. Several scenarios are built to model possible developments, including extreme cases. All our scenarios show that all model outcomes are going to grow until 2028 in a very similar pattern. In particular, the projected number of smokers in 2028 is by 4-8% higher than in 2013, the total daily tobacco consumption and tax revenue by 7-26%. This increase is induced by ageing of large birth cohorts.