IDEAS home Printed from https://ideas.repec.org/a/sae/ilrrev/v73y2020i2p498-527.html
   My bibliography  Save this article

Third-Party Intervention and the Preservation of Bargaining Relationships

Author

Listed:
  • Bradley R. Weinberg

Abstract

This article uses longitudinal bargaining contract data to examine whether third-party dispute resolution procedures improve the health of bargaining relationships and contribute to their preservation. The author uses survival analysis to assess whether the procedures correlate with the likelihood of relationship dissolution. This analysis shows that earlier procedures in the dispute resolution process, such as conciliation and mediation, are related to a lower likelihood of dissolution than are later ones. The author then uses dynamic panel models to consider whether third-party intervention pushes the parties to settle subsequent collective agreements voluntarily or earlier in the process, but he finds no evidence to this effect.

Suggested Citation

  • Bradley R. Weinberg, 2020. "Third-Party Intervention and the Preservation of Bargaining Relationships," ILR Review, Cornell University, ILR School, vol. 73(2), pages 498-527, March.
    • Handle: RePEc:sae:ilrrev:v:73:y:2020:i:2:p:498-527
    DOI: 10.1177/0019793919864263
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0019793919864263
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0019793919864263?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Card, David, 1988. "Longitudinal Analysis of Strike Activity," Journal of Labor Economics, University of Chicago Press, vol. 6(2), pages 147-176, April.
    3. Campolieti, Michele, 2015. "State dependence in the incidence of strikes: Evidence from Canadian contract data using Heckman’s dynamic probit model," Economics Letters, Elsevier, vol. 133(C), pages 7-9.
    4. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    5. James R. Chelius & Marian M. Extejt, 1985. "The Narcotic Effect of Impasse-Resolution Procedures," ILR Review, Cornell University, ILR School, vol. 38(4), pages 629-638, July.
    6. Felice Martinello, 2000. "Mr. Harris, Mr. Rae and Union Activity in Ontario," Canadian Public Policy, University of Toronto Press, vol. 26(1), pages 17-33, March.
    7. Schnell, John F & Gramm, Cynthia L, 1987. "Learning by Striking: Estimates of the Teetotaler Effect," Journal of Labor Economics, University of Chicago Press, vol. 5(2), pages 221-241, April.
    8. Henry S. Farber & Harry C. Katz, 1979. "Interest Arbitration, Outcomes, and the Incentive to Bargain," ILR Review, Cornell University, ILR School, vol. 33(1), pages 55-63, October.
    9. John W. Budd & Aaron Sojourner & Jaewoo Jung, 2017. "Are Voluntary Agreements Better? Evidence from Baseball Arbitration," ILR Review, Cornell University, ILR School, vol. 70(4), pages 865-893, August.
    10. Richard J. Butler & Ronald G. Ehrenberg, 1981. "Estimating the Narcotic Effect of Public Sector Impasse Procedures," ILR Review, Cornell University, ILR School, vol. 35(1), pages 3-20, October.
    11. Janet Currie, 1989. "Who Uses Interest Arbitration? The Case of British Columbia's Teachers, 1947–1981," ILR Review, Cornell University, ILR School, vol. 42(3), pages 363-379, April.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    13. Brian P. McCall, 1990. "Interest Arbitration and the Incentive to Bargain," Journal of Conflict Resolution, Peace Science Society (International), vol. 34(1), pages 151-167, March.
    14. Martin J. Mauro, 1982. "Strikes as a Result of Imperfect Information," ILR Review, Cornell University, ILR School, vol. 35(4), pages 522-538, July.
    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. Michele Campolieti & Chris Riddell, 2019. "Interest Arbitration and the Narcotic Effect: Evidence from Three Decades of Collective Bargaining in Ontario," British Journal of Industrial Relations, London School of Economics, vol. 57(3), pages 421-452, September.
    2. Campolieti, Michele, 2015. "State dependence in the incidence of strikes: Evidence from Canadian contract data using Heckman’s dynamic probit model," Economics Letters, Elsevier, vol. 133(C), pages 7-9.
    3. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    4. H. T. Tran & E. Santarelli, 2013. "Determinants and Effects of Innovative Activities in Vietnam. A Firm-level Analysis," Working Papers wp909, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    6. Ming Liu & Sumner LaCroix, 2011. "The Impact of Stronger Property Rights in Pharmaceuticals on Innovation in Developed and Developing Countries," Working Papers 201116, University of Hawaii at Manoa, Department of Economics.
    7. Akay, Alpaslan & Khamis, Melanie, 2011. "The Persistence of Informality: Evidence from Panel Data," IZA Discussion Papers 6163, Institute of Labor Economics (IZA).
    8. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.
    9. Picchio, Matteo & van Ours, Jan C., 2013. "Retaining through training even for older workers," Economics of Education Review, Elsevier, vol. 32(C), pages 29-48.
    10. Franco Peracchi & Claudio Rossetti, 2022. "A nonlinear dynamic factor model of health and medical treatment," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1046-1066, June.
    11. Jose L. Groizard & Priya Ranjan & Antonio Rodriguez‐Lopez, 2015. "Trade Costs And Job Flows: Evidence From Establishment‐Level Data," Economic Inquiry, Western Economic Association International, vol. 53(1), pages 173-204, January.
    12. Ambra Poggi, 2007. "Does persistence of social exclusion exist in Spain?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 53-72, April.
    13. Mavroeidis, Sophocles & Sasaki, Yuya & Welch, Ivo, 2015. "Estimation of heterogeneous autoregressive parameters with short panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 219-235.
    14. Khanam, Rasheda & Nghiem, Hong Son & Connelly, Luke B., 2009. "Child health and the income gradient: Evidence from Australia," Journal of Health Economics, Elsevier, vol. 28(4), pages 805-817, July.
    15. Francesco Bartolucci & Claudia Pigini, 2017. "Granger causality in dynamic binary short panel data models," Working Papers 421, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    16. Caponi Vincenzo & Kayahan Burc & Plesca Miana, 2010. "The Impact of Aggregate and Sectoral Fluctuations on Training Decisions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-37, October.
    17. Geert Dhaene & Koen Jochmans, 2015. "Split-panel Jackknife Estimation of Fixed-effect Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 991-1030.
    18. repec:zbw:rwirep:0051 is not listed on IDEAS
    19. Denise Doiron & Nathan Kettlewell, 2020. "Family formation and the demand for health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-533, April.
    20. Michelle S. Goeree & John C. Ham & Daniela Iorio, 2009. "Caught in the bulimic trap? Persistence and state dependence of bulimia among young women," IEW - Working Papers 447, Institute for Empirical Research in Economics - University of Zurich, revised Jul 2012.
    21. Wang-Sheng Lee & Umut Oguzoglu, 2007. "Are Youths on Income Support Less Happy? Evidence from Australia," Melbourne Institute Working Paper Series wp2007n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    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:sae:ilrrev:v:73:y:2020:i:2:p:498-527. 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: SAGE Publications (email available below). General contact details of provider: http://www.ilr.cornell.edu .

    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.