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How social preferences provide effort incentives in situations of financial support

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  • Christian Knoller
  • Stefan Neuß
  • Richard Peter

Abstract

When people anticipate financial support, they may reduce preventive effort. We conjecture that the source of financial support can mitigate this moral hazard effect due to social preferences. We compare effort choices when another individual voluntarily provides financial support against effort choices under purely monetary incentives. When financial support is provided voluntarily by another individual, we expect recipients to exert more effort to avoid bad outcomes (level effect) and to reduce effort provision to a lesser degree as financial support becomes more generous (sensitivity effect). We conducted an incentivized laboratory experiment and find some evidence for the level effect and strong evidence for the sensitivity effect. This leads to significant gains in material efficiency with expected wealth being 5.5% higher and 37.3% less volatile.

Suggested Citation

  • Christian Knoller & Stefan Neuß & Richard Peter, 2021. "How social preferences provide effort incentives in situations of financial support," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-15, January.
  • Handle: RePEc:plo:pone00:0244972
    DOI: 10.1371/journal.pone.0244972
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    References listed on IDEAS

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    1. Mol, Jantsje M. & Botzen, W. J. Wouter & Blasch, Julia E., 2020. "Risk reduction in compulsory disaster insurance: Experimental evidence on moral hazard and financial incentives," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    2. Paul Raschky & Reimund Schwarze & Manijeh Schwindt & Ferdinand Zahn, 2013. "Uncertainty of Governmental Relief and the Crowding out of Flood Insurance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 179-200, February.
    3. Fafchamps, Marcel & Lund, Susan, 2003. "Risk-sharing networks in rural Philippines," Journal of Development Economics, Elsevier, vol. 71(2), pages 261-287, August.
    4. Kaplow, Louis, 1991. "Incentives and Government Relief for Risk," Journal of Risk and Uncertainty, Springer, vol. 4(2), pages 167-175, April.
    5. Bixter, Michael T. & Luhmann, Christian C., 2014. "Shared losses reduce sensitivity to risk: A laboratory study of moral hazard," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 63-73.
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