Work in progress
Bill Complexity and Voting
Using the LIX readability index and other measures of linguistic and legal complexity of bills and their supplementary reports (and its availability) from the Danish parliament from 2004 to 2019, I find that politicians react differently to information of varying complexity. By contrasting variation in party-line-breaking votes and absence across education levels, I identify several cognitive and behavioral aspects of politicians' information processing.
Education level has been identified as the main determinant of a politician's performance (e.g. Dal Bo et al., 2017; Gagliarducci and Nannicini, 2013; Ferraz and Finan, 2009). My results provide a closer analysis of the role of education in politics and identify the relevance of education-associated cognitive skills that affect politician's ability to process complex information.
First, increased complexity is primarily associated with less attention. Only those with an undergraduate degree become more attentive as the readability of the bill decreases. As a result of that, they are the only group for which I identify a learning outcome induced by report availability. Second, having a report that is too complex adds to the confusion of politicians with elementary and general secondary education. Third, politicians with vocational education extract less information if the bill has bad readability. Last, text complexity has no effect on politicians with a graduate degree.
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.