Thilo Klein is Professor of Quantitative Economics at Pforzheim University und head of the research area “Design of Matching Markets” at ZEW — Leibniz Centre for European Economic Research.
He has extensive experience in economic consulting on the design of data and markets. He held various analyst and management positions, including at the OECD and the United Nations, the Indian microfinance institution Spandana, and Bayer AG.
Thilo Klein studied economics, mathematics and operations research and received his doctorate from the University of Cambridge, UK. He is an open source enthusiast and the author of several software packages for matching problems.
Thilo Klein‘s research focuses on designing matching markets, where supply and demand are not exclusively coordinated by prices, but also by other criteria. Prominent examples include personal preferences of market participants amongst themselves in the sharing economy, as well as in education and labor markets.
Klein’s research combines assignment algorithms with statistical methods in order to analyze how markets can be improved by actively shaping market rules and institutions.
Empirical Economic Research , Mathematics , Statistics , Econometrics , Operation Research
2016 - Certificate, Data Science
Paris Dauphine University
2014 - Ph.D., Business Economics
University of Cambridge
2010 - M.Phil., Management Science & Operations
University of Cambridge
2009 - Diplom, Business Education and Mathematics
since 2019 - Pforzheim University - Germany
Professor for Quantitative Economics
2019 - Heilbronn University - Germany
Professor for Quantitative Methods and Business Economics
since 2017 - ZEW – Leibniz-Centre for European Economic Research - Germany
2014 - 2017 - OECD – Organisation for Economic Co-operation and Development - France
2009 - Spandana Financial Ltd. - India
2002 - 2004 - Bayer AG - Germany
REISCHMANN, T., KLEIN, T., GIEGERICH, S. (2021). An iterative deferred acceptance mechanism for decentralized, fast, and fair childcare assignment. Journal of Mechanism and Institution Design, 6 (1).
GRETSCHKO, V., KLEIN, T., WAMBACH, A. (2019). Die Regeln machen den Unterschied: Marktdesign. WiSt Wirtschaftswissenschaftliches Studium, 48 (4), 22-28. doi:https://doi.org/10.15358/0340-1650-2019-4-22.
KLEIN, T. (2012). Why Do India's Urban Poor Choose to Go Private? Health Policy Simulations in Slums of Hyderabad. Ibidem-Verlag.
KLEIN, T. (2010). Microfinance 2.0: Group Formation & Repayment Performance in Online Lending Platforms. Ibidem-Verlag.
Chapter in Book
BADIEE, S., JÜTTING, J., KLEIN, T. (2017). The Role of National Statistical Systems in the Data Revolution. In Ida Mc Donnell (Ed.), Development Co-operation Report (pp. 55-76). OECD Publishing.
BADIEE, S., KLEIN, T., & MOHAMEDOU, E. I. (2017). Rethinking Donor Support for Statistical Capacity Development. In Ida Mc Donnell (Ed.), Development Co-operation Report (pp. 77-94). OECD Publishing.
Publication in Collected Edition (encyclopedia...)
KLEIN, T., & PHILIP, V. B. (2019). Matching Practices for Trainee Teachers in Germany. Matching-in-Practice Network, Brussels, Belgium.
HERZOG, S., & KLEIN, T. (2018). Matching Practices for Childcare in Germany. Matching-in-Practice Network, Brussels, Belgium.
Contribution to Series of Ext. Research Institute
AUE, R., KLEIN, T., ORTEGA, J. (2020). What Happens when Separate and Unequal School Districts Merge? ZEW Discussion Paper No. 20-03., Mannheim.
AUE, R., BACH, M., HEIGLE, J., KLEIN, T., PFEIFFER, F., ZAPP, K. (2020). The Implication of School Admission Rules for Segregation and Educational Inequality, ZEW Research Report., Mannheim.
KLEIN, T. (2017). Intermediation in Peer-to-Peer Markets: Evidence from Auctions for Private Loans, ZEW Discussion Paper No. 17-073., Mannheim, Germany.
KLEIN, T., VERHULST, S. (2017). Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector, OECD Statistics Working Paper no. 17/01., Paris, France.
ROBIN, N., KLEIN, T., JÜTTING, J. (2016). Public-Private Partnerships for Statistics. Lessons Learned, Future Steps, OECD Development Co-operation Working Paper no. 27., Paris, France.
GREENWELL, G., KINYUA, J., KLEIN, T., & RANJAN, R. (2016). Making Data Portals Work for SDGs: A View on Deployment, Design and Technology, Partnership in Statistics for Development Discussion Paper no. 8., Paris, France.
KLEIN, T. (2015). Does Anti-Diversification Pay? A One-Sided Matching Model of Microcredit., Cambridge, United Kingdom.
Article in Proceeding
KLEIN, T., GALDIN, A., MOHAMEDOU, E. I. (2016). An Indicator for Statistical Literacy Based on National Newspaper Archives. In Engel, J. (Eds.), International Association for Statistical Education 2016 Roundtable.