Hans-Martin von Gaudecker

Hans-Martin von Gaudecker is a Professor of Applied Microeconomics in the Department of Economics at the University of Bonn. He holds multiple significant research 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 Associated Member at the IZA Institute of Labor Economics. He is also a research fellow at the Reinhard Selten Institute, CESifo, and Netspar.

His research focuses on life-cycle behavior of households, particularly examining how people manage risks over their life-cycles and how public policy can reduce human inequality. His work spans several key areas including household finance, labor market dynamics, health economics, and empirical microeconometrics. He combines innovative data with economic models and modern econometric methods to address questions about stock market participation, retirement decisions, disability schemes, and the relationship between health and labor market outcomes.

Professor von Gaudecker has developed software tools to enhance research reproducibility in economics and maintains templates for reproducible research projects. His work on computational methods for economists reflects his commitment to rigorous, replicable scholarship.

• IZA Institute of Labor Economics
• Institute for Applied Microeconomics
• Institute for Financial Economics and Statistics
• Institute of Macroeconomics and Econometrics
• Institute of Microeconomics
• CRC TR 224 EPoS

Professor von Gaudecker teaches a range of courses at the University of Bonn, including Applied Microeconomics (PhD/MSc), Applied Data Analytics (BSc), Effective Programming Practices for Economists (PhD/MSc), and Public Finance and Social Policy (BSc). He emphasizes combining economic theory with practical computational and data analysis skills, particularly using Python. His teaching approach includes flipped classroom models and hands-on case studies to develop students' abilities in data analysis, statistical interpretation, and critical thinking about empirical relationships.

He maintains an active research group focused on computational economics and reproducible research practices, contributing significantly to methodological advancements in economic research. His work with CentERdata on COVID-19 impacts demonstrates his ability to respond to emerging research needs with rigorous empirical analysis.