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On The Preferences of Principals and Agents

Author

Listed:
  • Marco Castillo
  • Ragan Petrie
  • Maximo Torero

Abstract

One of the reasons why market economies are able to thrive is that they exploit the willingness of entrepreneurs to take risks that laborers might prefer to avoid. Markets work because they remunerate good judgement and punish mistakes. Indeed, modern contract theory is based on the assumption that principals are less risk averse than agents. We investigate if the risk preferences of entrepreneurs are different from those of laborers by implementing experiments with a random sample of the population in a fast-growing, small-manufacturing, economic cluster. As assumed by theory, we find that entrepreneurs are more likely to take risks than hired managers. These results are robust to the inclusion of a series of controls. This lends support to the idea that risk preferences are an important determinant of selection into occupations. Finally, our lotteries are good predictors of financial decisions, thus giving support to the external validity of our risk measures and experimental methods.

Suggested Citation

  • Marco Castillo & Ragan Petrie & Maximo Torero, 2007. "On The Preferences of Principals and Agents," Experimental Economics Center Working Paper Series 2007-12, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
  • Handle: RePEc:exc:wpaper:2007-12
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    File URL: http://excen.gsu.edu/workingpapers/GSU_EXCEN_WP_2007-12.pdf
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    Citations

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    Cited by:

    1. Maitra, Pushkar & Neelim, Ananta & Tran, Chau, 2021. "The role of risk and negotiation in explaining the gender wage gap," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1-27.
    2. Kjell Hausken, 2019. "Principal–Agent Theory, Game Theory, and the Precautionary Principle," Decision Analysis, INFORMS, vol. 16(2), pages 105-127, June.
    3. Arnaud A. Reynaud & Stéphane S. Couture, 2011. "Stability of risk preference measures: results from a field experiment on french farmers," Post-Print hal-02803766, HAL.
    4. Dasgupta, Utteeyo & Gangadharan, Lata & Maitra, Pushkar & Mani, Subha & Subramanian, Samyukta, 2015. "Choosing to be trained: Do behavioral traits matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 145-159.
    5. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2017. "Cognitive, Socioemotional and Behavioral Returns to College Quality," IZA Discussion Papers 10701, Institute of Labor Economics (IZA).
    6. Hahn, Youjin & Islam, Asadul & Patacchini, Eleonora & Zenou, Yves, 2015. "Network Structure and Education Outcomes: Evidence from a Field Experiment in Bangladesh," IZA Discussion Papers 8872, Institute of Labor Economics (IZA).
    7. Youjin Hahn & Asadul Islam & Eleonora Patacchini & Yves Zenou, 2015. "Teams, Organization and Education Outcomes: Evidence from a field experiment in Bangladesh," Monash Economics Working Papers 35-15, Monash University, Department of Economics.
    8. Hill, Ruth Vargas & Maruyama, Eduardo & Viceisza, Angelino, 2012. "Breaking the norm: An empirical investigation into the unraveling of good behavior," Journal of Development Economics, Elsevier, vol. 99(1), pages 150-162.
    9. Dasgupta, Utteeyo & Gangadharan, Lata & Maitra, Pushkar & Mani, Subha & Subramanian, Samyukta, 2011. "Selection into skill accumulation: evidence using observational and experimental data," MPRA Paper 32383, University Library of Munich, Germany.
    10. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2017. "Cognitive, Socioemotional and Behavioral Returns to College Quality," IZA Discussion Papers 10701, Institute of Labor Economics (IZA).
    11. Arnaud Reynaud & Stéphane Couture, 2012. "Stability of risk preference measures: results from a field experiment on French farmers," Theory and Decision, Springer, vol. 73(2), pages 203-221, August.
    12. Castillo, Marco & Ferraro, Paul J. & Jordan, Jeffrey L. & Petrie, Ragan, 2011. "The today and tomorrow of kids: Time preferences and educational outcomes of children," Journal of Public Economics, Elsevier, vol. 95(11), pages 1377-1385.
    13. repec:isu:genstf:201301010800004100 is not listed on IDEAS
    14. Lönnqvist, Jan-Erik & Verkasalo, Markku & Walkowitz, Gari & Wichardt, Philipp C., 2015. "Measuring individual risk attitudes in the lab: Task or ask? An empirical comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 254-266.
    15. Arnaud Reynaud & Cécile Aubert, 2022. "Correction to: Does flood experience modify risk preferences? Evidence from an artefactual field experiment in Vietnam," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(2), pages 339-339, September.
    16. Mikko Vaaramo & Leena Ala-Mursula & Jouko Miettunen & Marko Korhonen, 2023. "Economic preferences and temperament traits among business leaders and paid employees," Small Business Economics, Springer, vol. 60(3), pages 1197-1217, March.
    17. Maitra, Pushkar & Mani, Subha, 2017. "Learning and earning: Evidence from a randomized evaluation in India," Labour Economics, Elsevier, vol. 45(C), pages 116-130.
    18. Utteeyo Dasgupta & Lata Gangadharan & Pushkar Maitra & Subha Mani & Samyukta Subramanian, 2012. "Choosing to be Trained: Evidence from a Field Experiment," Monash Economics Working Papers 43-12, Monash University, Department of Economics.
    19. Catherine Eckel & Lata Gangadharan & Philip J. Grossman & Nina Xue, 2021. "The gender leadership gap: insights from experiments," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 7, pages 137-162, Edward Elgar Publishing.
    20. Lata Gangadharan & Tarun Jain & Pushkar Maitra & Joe Vecci, 2022. "Lab-in-the-field experiments: perspectives from research on gender," The Japanese Economic Review, Springer, vol. 73(1), pages 31-59, January.
    21. Pushkar Maitra & Ananta Neelim, 2021. "Behavioural characteristics, stability of preferences and entrepreneurial success," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 5, pages 93-118, Edward Elgar Publishing.

    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

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