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Good News and Bad News: Search from Unknown Wage Offer Distributions

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  • James Cox
  • Ronald Oaxaca

Abstract

The largest market in national economies is the labor market. Labor market contracting is characterized by job search, often from unknown wage offer distributions. This paper reports experimental tests of finite horizon models of job search in which the wage offer distribution is unknown. Theoretically-optimal search from an unknown wage offer distribution can have the seemingly paradoxical property that some offers will be accepted that are lower than other offers that will be rejected in the same period of the search horizon. Thus the reservation wage property (or lowest acceptable wage path) may not exist. This can occur because an offer that is a priori relatively high (“good news”) can imply that it is highly probable that search is from a favorable distribution, and such an offer can look unattractive when it is an a posteriori relatively low offer from a favorable distribution (“bad news”). This paper reports results from experimental treatments for search from unknown distributions in which the reservation wage property does exist and treatments in which it does not exist. We find that the consistency of search behavior with search theory reported in earlier papers is robust to the presence or absence of the reservation wage property and to whether the draws come from known or unknown distributions. Copyright Kluwer Academic Publishers 2000

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  • James Cox & Ronald Oaxaca, 2000. "Good News and Bad News: Search from Unknown Wage Offer Distributions," Experimental Economics, Springer;Economic Science Association, vol. 2(3), pages 197-225, March.
    • Handle: RePEc:kap:expeco:v:2:y:2000:i:3:p:197-225
    DOI: 10.1023/A:1009910627375
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ben Casner, 2021. "Learning while shopping: an experimental investigation into the effect of learning on consumer search," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 238-273, March.
    2. Daniela Cagno & Tibor Neugebauer & Carlos Rodriguez-Palmero & Abdolkarim Sadrieh, 2014. "Recall searching with and without recall," Theory and Decision, Springer, vol. 77(3), pages 297-311, October.
    3. Timothy N. Cason & Shakun D. Mago, 2010. "Costly Buyer Search In Laboratory Markets With Seller Advertising," Journal of Industrial Economics, Wiley Blackwell, vol. 58(2), pages 424-449, June.
    4. Jingcheng Fu & Martin Sefton & Richard Upward, 2017. "Social comparisons in job search: experimental evidence," Discussion Papers 2017-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    5. Paul Viefers, 2012. "Should I Stay or Should I Go?: A Laboratory Analysis of Investment Opportunities under Ambiguity," Discussion Papers of DIW Berlin 1228, DIW Berlin, German Institute for Economic Research.
    6. Christopher Anderson, 2012. "Ambiguity aversion in multi-armed bandit problems," Theory and Decision, Springer, vol. 72(1), pages 15-33, January.
    7. Oprea, Ryan & Friedman, Daniel & Anderson, Steven T, 2007. "A Laboratory Investigation of Deferral Options," Santa Cruz Department of Economics, Working Paper Series qt15t887m9, Department of Economics, UC Santa Cruz.
    8. Nicolas Jacquemet & Olivier L’Haridon & Isabelle Vialle, 2014. "Marché du travail, évaluation et économie expérimentale," Revue française d'économie, Presses de Sciences-Po, vol. 0(1), pages 189-226.
    9. Feri, Francesco & Gantner, Anita, 2011. "Bargaining or searching for a better price? - An experimental study," Games and Economic Behavior, Elsevier, vol. 72(2), pages 376-399, June.
    10. Cox, James C. & Friedman, Daniel & Gjerstad, Steven, 2007. "A tractable model of reciprocity and fairness," Games and Economic Behavior, Elsevier, vol. 59(1), pages 17-45, April.
    11. Takao Asano & Hiroko Okudaira & Masaru Sasaki, 2015. "An experimental test of a search model under ambiguity," Theory and Decision, Springer, vol. 79(4), pages 627-637, December.
    12. Charness, Gary & Kuhn, Peter, 2011. "Lab Labor: What Can Labor Economists Learn from the Lab?," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 3, pages 229-330, Elsevier.
    13. Philipp Strack & Paul Viefers, 2021. "Too Proud to Stop: Regret in Dynamic Decisions," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 165-199.
    14. Asa B. Palley & Mirko Kremer, 2014. "Sequential Search and Learning from Rank Feedback: Theory and Experimental Evidence," Management Science, INFORMS, vol. 60(10), pages 2525-2542, October.
    15. Nicolas Jacquemet & Olivier L’Haridon & Isabelle Vialle, 2014. "Marché du travail, évaluation et économie expérimentale," Revue française d'économie, Presses de Sciences-Po, vol. 0(1), pages 189-226.
    16. Takao Asano & Hiroko Okudaira & Masaru Sasaki, 2015. "An Experimental Test of a Search Model under Ambiguity," KIER Working Papers 913, Kyoto University, Institute of Economic Research.
    17. Eckel, Catherine & Gintis, Herbert, 2010. "Blaming the messenger: Notes on the current state of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 73(1), pages 109-119, January.
    18. Fu, Jingcheng & Sefton, Martin & Upward, Richard, 2019. "Social comparisons in job search," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 338-361.
    19. Hsiao, Yu-Chin & Kemp, Simon & Servátka, Maroš & Ward, Matt & Zhang, Le, 2021. "Time Costs and Search Behavior," MPRA Paper 105412, University Library of Munich, Germany.

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