David Schindler
David Schindler

Associate Professor

About Me

I am an Associate Professor in the Economics department at Tilburg University, primarily interested in behavioral & experimental economics, economic history, and personnel economics. I am also a Research Fellow at CESifo.

With my research, I seek to understand how insights from behavioral economics influence behavior in questions of public policy, political economy, as well as finance, and firm organization. In the past, I have predominantly used secondary data, as well as laboratory & field experiments.

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Interests
  • Behavioral & Experimental Economics
  • Organizational & Institutitional Economics
  • Economic History
Education
  • PhD Economics

    Ludwig Maximilian University Munich

  • MSc Economics

    Ludwig Maximilian University Munich

  • Dipl.-Volkswirt

    University of Cologne

Publications
(2025). The value of leadership: Evidence from a large-scale field experiment. Leadership Quarterly.
(2024). The Efficacy of Tournaments for Nonroutine Team Tasks. Journal of Labor Economics.
(2024). The effect of incentives in nonroutine analytical team tasks. Journal of Political Economy.
(2021). Shocking racial attitudes: black GIs in Europe. Review of Economic Studies.
(2019). Risk, time pressure, and selection effects. Experimental Economics.
(2017). Overpricing and stake size: On the robustness of results from experimental asset markets. Economics Letters.
Companian Papers to Software
(2019). μCap: Connecting FaceReader™ to z-Tree. Journal of the Economic Science Association.
Work in Progress
(2025). Calvinist Culture and Dutch Development. In Progress.
(2025). Gun shops and suicides. In Progress.
(2025). Microaspects of leadership. In Progress.
(2025). The (Mis)Perceived Determinants of Team Success in Non-Routine Analytical Tasks. In Progress.
(2025). The spread of tolerance. In Progress.
(2025). The Transferability of Racial Prejudice through Collective Memory: The Marocchinate. In Progress.
Retired Papers
(2017). The Incentive Effects of Uncertainty in Tournaments. Working Paper.
Software

I have been involved in the development of μCap (muCap), a software tool that enables researchers to link z-Tree and Noldus FaceReader™. The tool can be used free of charge, but we require to be cited.

Please visit the μCap website for further information on μCap and the terms of use.