IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_11946.html

Insurance and Asymmetric Information in Wage Contracts: Evidence from an Online Experiment

Author

Listed:
  • Daniel Herbst

Abstract

For workers facing uncertain output, fixed-wage contracts provide implicit insurance compared to self-employment or performance-based pay. But like any insurance product, these contracts are prone to market distortions through moral hazard and adverse selection. Using a model of wage contracts under asymmetric information, I show how these distortions can be identified as potential outcomes in a marginal treatment effects (MTE) framework. I apply this framework to a field experiment in which data-entry workers are offered a choice between a randomized fixed hourly wage and a piece rate. Using experimental wage offers as an instrument for hourly wage take-up, I find evidence of both moral hazard and adverse selection. Hourly wage contracts reduce worker productivity by an estimated 6.32 percent relative to the mean. Meanwhile, a 10 percent increase in the hourly wage offer attracts a marginal worker whose productivity is higher by 1.44 percent of mean worker output. Using semi-parametric MTE estimation, I calculate the welfare loss associated with asymmetric information and the marginal values of public funds (MVPFs) for a range of wage-based subsidy and tax policies. My estimates suggest that a 14-percent tax on performance-based pay can efficiently raise government revenue by mitigating adverse selection into fixed-wage contracts.

Suggested Citation

  • Daniel Herbst, 2025. "Insurance and Asymmetric Information in Wage Contracts: Evidence from an Online Experiment," CESifo Working Paper Series 11946, CESifo.
  • Handle: RePEc:ces:ceswps:_11946
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/cesifo1_wp11946.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Salop, Steven C, 1979. "A Model of the Natural Rate of Unemployment," American Economic Review, American Economic Association, vol. 69(1), pages 117-125, March.
    2. Huber, Martin, 2013. "A simple test for the ignorability of non-compliance in experiments," Economics Letters, Elsevier, vol. 120(3), pages 389-391.
    3. Bruce C. Greenwald, 1986. "Adverse Selection in the Labour Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(3), pages 325-347.
    4. Kelly Bedard, 2001. "Human Capital versus Signaling Models: University Access and High School Dropouts," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 749-775, August.
    5. John A. List & Azeem M. Shaikh & Yang Xu, 2019. "Multiple hypothesis testing in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 773-793, December.
    6. Dean Karlan & Jonathan Zinman, 2009. "Observing Unobservables: Identifying Information Asymmetries With a Consumer Credit Field Experiment," Econometrica, Econometric Society, vol. 77(6), pages 1993-2008, November.
    7. Jasmin Kantarevic & Boris Kralj, 2016. "Physician Payment Contracts in the Presence of Moral Hazard and Adverse Selection: The Theory and Its Application in Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1326-1340, October.
    8. Gharad Bryan & Dean Karlan & Jonathan Zinman, 2015. "Referrals: Peer Screening and Enforcement in a Consumer Credit Field Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 7(3), pages 174-204, August.
    9. Lasse Brune & Eric Chyn & Jason Kerwin, 2022. "Peers and Motivation at Work: Evidence from a Firm Experiment in Malawi," Journal of Human Resources, University of Wisconsin Press, vol. 57(4), pages 1147-1177.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Antonella Mancino & Leonardo Fabio Morales & Diego F. Salazar, 2023. "Signaling Worker Quality in a Developing Country: Lessons from a Certification Program," Borradores de Economia 1259, Banco de la Republica de Colombia.
    2. repec:eee:labchp:v:3:y:1999:i:pb:p:2373-2437 is not listed on IDEAS
    3. M. Ali Choudhary & Anil K. Jain, 2022. "Credit access and relational contracts: An experiment testing informational and contractual frictions for Pakistani farmers," International Finance Discussion Papers 2022, Board of Governors of the Federal Reserve System (U.S.).
    4. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2025. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," The Review of Economics and Statistics, MIT Press, vol. 107(3), pages 589-604, May.
    5. Azzam, Tarek & Bates, Michael D. & Fairris, David, 2022. "Do learning communities increase first year college retention? Evidence from a randomized control trial," Economics of Education Review, Elsevier, vol. 89(C).
    6. Espen R. Moen & Åsa Rosén, 2004. "Does Poaching Distort Training?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(4), pages 1143-1162.
    7. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    8. Tarek Azzam & Michael Bates & David Fairris, 2019. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202002, University of California at Riverside, Department of Economics.
    9. Canegallo, Claudia, 1999. "Funzionamento del mercato del lavoro in presenza di informazione asimmetrica. Una rassegna della letteratura," POLIS Working Papers 8, Institute of Public Policy and Public Choice - POLIS.
    10. Manuel David Cruz, 2022. "Labor productivity, real wages, and employment: evidence from a panel of OECD economies over 1960-2019," Working Papers PKWP2203, Post Keynesian Economics Society (PKES).
    11. Waldman, Michael, 2016. "The dual avenues of labor market signaling," Labour Economics, Elsevier, vol. 41(C), pages 120-134.
    12. Gunnsteinsson, Snaebjorn, 2020. "Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines," Journal of Development Economics, Elsevier, vol. 144(C).
    13. Shagata Mukherjee, 2020. "What Drives Gender Differences in Trust and Trustworthiness?," Public Finance Review, , vol. 48(6), pages 778-805, November.
    14. Yaofeng Fu & Ruokun Huang & Yiran Sheng, 2017. "Labor Contract Law -An Economic View," Papers 1702.03977, arXiv.org.
    15. Michael Waldman, 1990. "A Signalling Explanation for Seniority Based Promotions and Other Labor Market Puzzles," UCLA Economics Working Papers 599, UCLA Department of Economics.
    16. Sebastian Stolorz, 2005. "A Test of the Signalling Hypothesis - Evidence from Natural Experiment," Labor and Demography 0512008, University Library of Munich, Germany.
    17. Thorsten Beck & Patrick Behr, 2017. "Individual versus Village Lending: Evidence from Montenegro," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 67-87, November.
    18. Römer, Ulf & Weber, Ron & Mußhoff, Oliver & Turvey, Calcum G., 2017. "Truth and consequences: Bogus pipeline experiment in informal small business lending," DARE Discussion Papers 1702, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    19. Marianne Bertrand & Dean S. Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," Working Papers 918, Economic Growth Center, Yale University.
    20. Andreoni, James & Serra-Garcia, Marta, 2021. "Time inconsistent charitable giving," Journal of Public Economics, Elsevier, vol. 198(C).
    21. Andrea F.M. Martinangeli & Lisa Windsteiger, 2019. "Immigration vs. Poverty: Causal Impact on Demand for Redistribution in a Survey Experiment," Working Papers tax-mpg-rps-2019-13, Max Planck Institute for Tax Law and Public Finance.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_11946. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.