IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/7905.html
   My bibliography  Save this book chapter

Arbitrator Behavior in Public Sector Wage Disputes

In: When Public Sector Workers Unionize

Author

Listed:
  • David E. Bloom

Abstract

This study analyzes a new set of data on the decisions of conventional arbitrators. The main goal is to draw inferences about the extent to which conventional arbitration decisions are fashioned as mechanical compromises of the parties' final offers, without reference to the exogenous facts involved in different disputes. The results of the analysis are remarkably clear: conventional arbitrators tend to split-the-difference between the parties' final offers with virtually no evidence of additional systematic reference to the facts of the cases. However, since there is a substantial amount of unexplained variance in the arbitration decisions, this evidence of mechanical compromise behavior should be viewed as characterizing the overall operation of conventional arbitration mechanisms and not the behavior of individual arbitrators in any particular case. Indeed, the results are consistent with the view that individual arbitrators pay close attention to the facts of the cases, but that there is considerable variation in the structure of different arbitrators' preference functions.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • David E. Bloom, 1988. "Arbitrator Behavior in Public Sector Wage Disputes," NBER Chapters, in: When Public Sector Workers Unionize, pages 107-128, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:7905
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c7905.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Farber, Henry S & Bazerman, Max H, 1986. "The General Basis of Arbitrator Behavior: An Empirical Analysis of Conventional and Final-Offer Arbitration," Econometrica, Econometric Society, vol. 54(4), pages 819-844, July.
    2. Max H. Bazerman, 1985. "Norms of Distributive Justice in Interest Arbitration," ILR Review, Cornell University, ILR School, vol. 38(4), pages 558-570, July.
    3. Max H. Bazerman & Henry S. Farber, 1985. "Arbitrator Decision Making: When are Final Offers Important?," ILR Review, Cornell University, ILR School, vol. 39(1), pages 76-89, October.
    4. Orley Ashenfelter, 1985. "Evidence on US Experiences with Dispute Resolution Systems," Working Papers 565, Princeton University, Department of Economics, Industrial Relations Section..
    5. Farber, Henry S & Bazerman, Max H, 1986. "The General Basis of Arbitrator Behavior: An Empirical Analysis of Conventional and Final-Offer Arbitration," Econometrica, Econometric Society, vol. 54(6), pages 1503-1528, November.
    6. Henry S. Farber, 1981. "Splitting-the-Difference in Interest Arbitration," ILR Review, Cornell University, ILR School, vol. 35(1), pages 70-77, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Orley Ashenfelter & Janet Currie & Matthew Spiegel, 1989. "An Experimental Comparison of Alternative Arbitration Systems," UCLA Economics Working Papers 563, UCLA Department of Economics.

    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. Nathalie Chappe, 2001. "L'analyse économique d'un mode de résolution des litiges : l'arbitrage," Revue Française d'Économie, Programme National Persée, vol. 15(4), pages 187-208.
    2. Alan Speight & Dennis Thomas, 1997. "Arbitrator Decision‐Making in the Transfer Market: an Empirical Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(2), pages 198-215, May.
    3. Gershoni, Naomi, 2021. "Individual vs. group decision-making: Evidence from a natural experiment in arbitration proceedings," Journal of Public Economics, Elsevier, vol. 201(C).
    4. Bloom, David E, 1986. "Empirical Models of Arbitrator Behavior under Conventional Arbitration," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 578-585, November.
    5. Lawrence Hadley & John Ruggiero, 2006. "Final-offer arbitration in major league baseball: A nonparametric analysis," Annals of Operations Research, Springer, vol. 145(1), pages 201-209, July.
    6. Daniel R. Marburger & Paul L. Burgess, 2004. "Can Prior Offers and Arbitration Outcomes Be Used to Predict the Winners of Subsequent Final‐Offer Arbitration Cases?," Southern Economic Journal, John Wiley & Sons, vol. 71(1), pages 93-102, July.
    7. Klement, Alon & Neeman, Zvika, 2012. "Does Information about Arbitrators’Win/Loss Ratios Improve Their Accuracy?," Foerder Institute for Economic Research Working Papers 275786, Tel-Aviv University > Foerder Institute for Economic Research.
    8. Ashenfelter, Orley, et al, 1992. "An Experimental Comparison of Dispute Rates in Alternative Arbitration Systems," Econometrica, Econometric Society, vol. 60(6), pages 1407-1433, November.
    9. Henry S. Farber, 2001. "Notes on the Economics of Labor Unions," Working Papers 831, Princeton University, Department of Economics, Industrial Relations Section..
    10. Henry S. Farber, 2001. "Notes on the Economics of Labor Unions," Working Papers 831, Princeton University, Department of Economics, Industrial Relations Section..
    11. Henry S. Farber & Max H. Bazerman, 1987. "Divergent Expectations as a Cause of Disagreement in Bargaining: Evidence from a Comparison of Arbitration Schemes."," NBER Working Papers 2139, National Bureau of Economic Research, Inc.
    12. Marselli, Riccardo & McCannon, Bryan C. & Vannini, Marco, 2015. "Bargaining in the shadow of arbitration," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 356-368.
    13. Patricia A. Simpson & Joseph J. Martocchio, 1997. "The Influence of Work History Factors on Arbitration Outcomes," ILR Review, Cornell University, ILR School, vol. 50(2), pages 252-267, January.
    14. Cécile Bourreau-Dubois & Myriam Doriat-Duban & Jean-Claude Ray, 2006. "Caractéristiques du juge et décisions en matière de pensions alimentaires. Une étude à partir de données expérimentales," Revue économique, Presses de Sciences-Po, vol. 57(3), pages 563-572.
    15. James Andreoni & Ray D Madoff, 2007. "Overconfdence and Judicial Discretion: Do Winner-take-all Rules Discourage Pre-trial Agreement?," Levine's Bibliography 843644000000000198, UCLA Department of Economics.
    16. Orley Ashenfelter & David E. Bloom & Gordon B. Dahl, 2013. "Lawyers as Agents of the Devil in a Prisoner's Dilemma Game," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(3), pages 399-423, September.
    17. Miguel Á. Malo & Ángel Martín-Román & Alfonso Moral, 2018. "“Peer effects” or “quasi-peer effects” in Spanish labour court rulings," European Journal of Law and Economics, Springer, vol. 45(3), pages 497-525, June.
    18. Gabuthy, Yannick & Jacquemet, Nicolas & Marchand, Nadège, 2008. "Does resorting to online dispute resolution promote agreements? Experimental evidence," European Economic Review, Elsevier, vol. 52(2), pages 259-282, February.
    19. 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.
    20. David S. Kaplan & Joyce Sadka & Jorge Luis Silva‐Mendez, 2008. "Litigation and Settlement: New Evidence from Labor Courts in Mexico," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 5(2), pages 309-350, June.

    More about this item

    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:nbr:nberch:7905. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.