Exploring the Role of Age Structure in Regional Population Change in the Visegrad Group: Using a scenario-based decomposition approach, we examine regional population change between 1999 and 2023 at the NUTS-2 level in Czechia, Hungary, Poland, and Slovakia. The research investigates the sources of regional differences and assesses the explanatory role of age structure in shaping demographic trends across the Visegrad countries.
Driving Forces Behind Population Ageing in Central and Eastern Europe: By decomposing population ageing, we disentangle the contributions of fertility, mortality, net migration, and age structure from 1990 to 2020. Applying a scenario-based decomposition framework allows us to evaluate the role of migration in the ageing process within a region where migratory flows have been a defining demographic trend since the post-socialist transition.
Demography of Entrepreneurs: Entry, Exit, and Population Ageing: We study the demography of entrepreneurs in Hungary using administrative data on firms and their owners between 1986 and 2022. We decompose the number of entrepreneurs and their average age into (i) general demographic trends in the population, (ii) overall entry of entrepreneurs and (iii) changes in the lifecycle of entrepreneur entry and exit.
Twenty-Five Years of Abortions in Europe: We provide descriptive evidence on abortion trends in Europe over the past 25 years. Drawing on both publicly available and unique data sources, we document the institutional context across European regions, the evolution of abortion rates, and variations by age, parity, and education.
Evaluating income redistribution and the impact of family tax allowances: Analyzing pre- and post-tax income redistribution using the Personal Income Tax Return database, with a focus on the effects of the Family Child Allowance at both individual and household levels.
Redistribution in the Hungarian Public Pension System: We develop a cash-flow model that integrates regional mortality projections and detailed macroeconomic assumptions to analyze redistribution within the Hungarian public old-age pension system across genders, regions, and cohorts born between 1970 and 1985. Inequality is quantified by comparing the expected real internal rates of return on contributions.