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Informational Hold-Up, Disclosure Policy, and Career Concerns on the Example of Open Source Software Development

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Abstract

We consider software developers who can either work on an open source project or on a closed source project. The former provides a publicly available signal about their talent, whereas the latter provides a signal only observed by their employer. We show that a talented employee may initially prefer a less paying job as an open source developer to commercial closed source projects, because a publicly available signal gives him a better bargaining position when renegotiating wages with his employer after the signal has been revealed. Also, we derive conditions under which two effects suggested by standard intuition are reversed: a “pooling equilibrium” (with both talented and untalented workers doing closed source) is less likely if differences in talent are large; a highly visible open source job leads to more effort in a career concerns setup. The former effect is because a higher productivity of talented workers raises not only the value but also the cost of signaling; the latter stems from more effort and the choice of a high visibility job being substitutes for the purpose of signaling. Results naturally apply to other industries with high and low visibility jobs, e.g. academic rather than commercial research, consulting rather than management.

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  • Marc Blatter & Andras Niedermayer, 2008. "Informational Hold-Up, Disclosure Policy, and Career Concerns on the Example of Open Source Software Development," Working Papers 08-06, NET Institute, revised Sep 2008.
  • Handle: RePEc:net:wpaper:0806
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    Cited by:

    1. Dongryul Lee & Byung Kim, 2013. "Motivations for Open Source Project Participation and Decisions of Software Developers," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 31-57, January.
    2. Heski Bar-Isaac & Raphaël Lévy, 2022. "Motivating Employees through Career Paths," Journal of Labor Economics, University of Chicago Press, vol. 40(1), pages 95-131.
    3. Lei Xu & Tingting Nian & Luis Cabral, 2018. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Working Papers 18-04, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Lei Xu & Tingting Nian & Luís Cabral, 2020. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Management Science, INFORMS, vol. 66(2), pages 587-604, February.
    5. Atal Vidya & Shankar Kameshwari, 2015. "Developers’ Incentives and Open-Source Software Licensing: GPL vs BSD," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(3), pages 1381-1416, July.

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    More about this item

    Keywords

    Open source software; signaling;

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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