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.

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Empirical Economic Research ,  Mathematics ,  Statistics ,  Econometrics

2016 - Certificate, Data Science
Paris Dauphine University
France

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2014 - Ph.D., Business Economics
University of Cambridge
United Kingdom

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2010 - M.Phil., Management Science & Operations
University of Cambridge
United Kingdom

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2009 - Diplom, Business Education and Mathematics
Friedrich-Schiller-Universität Jena
Germany

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since 2019 - Pforzheim University - Germany

Professor for Quantitative Economics

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2019 - Heilbronn University - Germany

Professor for Quantitative Methods and Business Economics

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since 2017 - ZEW – Leibniz-Centre for European Economic Research - Germany

Economist

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2014 - 2017 - OECD – Organisation for Economic Co-operation and Development - France

Analyst

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2009 - Spandana Financial Ltd. - India

Statistical Analyst

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2002 - 2004 - Bayer AG - Germany

Trainee

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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.

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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.

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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.

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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.

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Contribution to Series of Ext. Research Institute

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.

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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.

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