Thomas Siedler is Professor in Economics, in particular Economic Policy at the Universität Potsdam and the Berlin School of Economics (BSE). Thomas received his PhD in Economics at the University of Essex (UK) in 2007. His general research interests are labour economics, health economics, family economics, and intergenerational mobility.

He developed the e-learning website mcEmpirics comprises more than 800 introductory econometric questions, answers to those questions, and references to manuals. It gives undergraduate students an opportunity to assess their knowledge of introductory econometrics and refresh their skills by playing quizzes. Teachers and lecturers at universities with a mcEmpirics campus license can easily create their own courses and online tests, without any correction time needed.

Thomas published in the Economic Journal, Journal of Public Economics, Journal of Human Resources, Journal of Health Economics, Demography, European Economic Review, Economica, Journal of the Royal Statistical Society: Series A, Fiscal Studies, Labour Economics, Economics of Education Review, Journal of Comparative Economics, Economics Letters, Behavior Genetics, Economics of Transition, Journal of Population Economics, Population and Development Review, Health Economics and Scandinavian Journal of Economics.

He joined IZA as a Research Affiliate in October 2005 and became a Research Fellow in May 2008.


IZA Publications

IZA Discussion Paper No. 14246
conditionally accepted at: American Economic Journal: Economic Policy
IZA Discussion Paper No. 12993
Peter Eibich, Thomas Siedler
published in: European Economic Review, 2020, 124 (Mai), 1-41
IZA Discussion Paper No. 12478
forthcoming in: Journal of Human Resources
IZA Discussion Paper No. 12053
Michael Bahrs, Thomas Siedler
published in: Fiscal Studies, 2019, 40 (2), 117-147
IZA Discussion Paper No. 11980
Shushanik Margaryan, Annemarie Paul, Thomas Siedler
forthcoming in: Journal of Human Resources, 2020
IZA Discussion Paper No. 9042
published in: Journal of the Royal Statistical Society: Series A, 2016, 179 (3), 633–656