Hans-Martin von Gaudecker

Hans-Martin von Gaudecker is a Professor of Applied Microeconomics at the University of Bonn's Department of Economics. He holds multiple significant academic positions including Cluster Faculty Member at ECONtribute, Principal Investigator of the Collaborative Research Center TR/224, Speaker of the Transdisciplinary Research Area 'Individuals, Institutions and Societies', and research fellow at the IZA Institute of Labor Economics, Reinhard Selten Institute, CESifo, and Netspar.

His research focuses on modeling life-cycle behavior of households and informing public policy to reduce inequality. His work spans household finance and preferences, labor economics, health economics, and the economic impacts of the COVID-19 pandemic. He combines innovative data with economic models and up-to-date econometric methods to address questions about risk management over life cycles, labor market consequences of ill health, disability scheme design, and retirement decisions.

His publication record shows a strong focus on empirical microeconomics with recent work increasingly addressing pandemic-related economic issues. His research employs sophisticated econometric techniques and emphasizes reproducibility, with many publications including replication code. His work appears in leading journals including Journal of Finance, American Economic Review, Journal of Labor Economics, and Journal of Econometrics.

As an educator, Professor von Gaudecker teaches Applied Microeconomics for PhD and MSc students, Applied Data Analytics for BSc students, and Effective Programming Practices for Economists. His teaching emphasizes computational methods, reproducible research, and the integration of economic theory with data analysis skills. He has developed templates for reproducible research projects that are widely used by students and collaborators.

He leads the C01 project within the Collaborative Research Center TR/224 and has been instrumental in developing software tools to enhance research reproducibility. His work with CentERdata on Dutch LISS panel data during the pandemic demonstrates his commitment to timely, policy-relevant research. His interdisciplinary approach bridges economics, public health, and computational science to address complex societal challenges.