Prof. Dr.
Thilo Klein
Quantitative Wirtschaftsforschung
Thilo Klein is professor for Quantitative Economics at Pforzheim Business School und heads the research area "Design of Matching Markets" at ZEW – Leibniz-Centre for European Economic Research. He has extensive professional experience in economic advising on the design of data and matching markets. He held analyst and management functions at OECD and the United Nations, Indian microfinance institution Spandana, and Bayer AG. Thilo Klein studied economics, mathematics and operations research and holds a PhD 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 focus is the design of matching markets. In matching markets, supply and demand are often coordinated not only by prices, but also by other criteria. Prominent examples include personal preferences of market participants amongst each other in the sharing economy, as well as in education and labour markets. Klein’s research combines assignment algorithms and statistical methods with the goal of examining how markets can be improved by actively shaping market rules and institutions.
Empirical Economic Research , Mathematics , Statistics , Econometrics
2016 - Certificate, Data Science
Paris Dauphine University
France
2014 - Ph.D., Business Economics
University of Cambridge
United Kingdom
2010 - M.Phil., Management Science & Operations
University of Cambridge
United Kingdom
2009 - Diplom, Business Education and Mathematics
Friedrich-Schiller-Universität Jena
Germany
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
Economist
2014 - 2017 - OECD – Organisation for Economic Co-operation and Development - France
Analyst
2009 - Spandana Financial Ltd. - India
Statistical Analyst
2002 - 2004 - Bayer AG - Germany
Trainee
Quantitative Methods
Journal article
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.
Book/Monograph/Ebook
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
KLEIN, T. (2017). Intermediation in Peer-to-Peer Markets: Evidence from Auctions for Private Loans., Mannheim, Germany.
KLEIN, T., & VERHULST, S. (2017). Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector., Paris, France.
ROBIN, N., KLEIN, T., & JÜTTING, J. (2016). Public-Private Partnerships for Statistics. Lessons Learned, Future Steps., Paris, France.
GREENWELL, G., KINYUA, J., KLEIN, T., & RANJAN, R. (2016). Making Data Portals Work for SDGs: A View on Deployment, Design and Technology., 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.
