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The Logic of Gamson's Law: Pre‐election Coalitions and Portfolio Allocations

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  • Royce Carroll
  • Gary W. Cox

Abstract

Gamson's Law—the proposition that coalition governments will distribute portfolios in proportion to each member party's contribution of seats to the coalition—has been one of the most prominent landmarks in coalitional studies since the 1970s. However, standard bargaining models of government formation argue that Gamson's Law should not hold, once one controls for relevant indicators of bargaining power. In this article, we extend these bargaining models by allowing parties to form pre‐election pacts. We argue that campaign investments by pact signatories depend on how they anticipate portfolios will be distributed and, thus, signatories have an incentive to precommit to portfolio allocation rules. We show that pacts will sometimes agree to allocate portfolios partly or wholly in proportion to members' contributions of seats to the coalition; this increases each signatory's investment in the campaign, thereby conferring external benefits (in the form of a larger probability of an alliance majority) on other coalition members. Empirical tests support the model's predictions.

Suggested Citation

  • Royce Carroll & Gary W. Cox, 2007. "The Logic of Gamson's Law: Pre‐election Coalitions and Portfolio Allocations," American Journal of Political Science, John Wiley & Sons, vol. 51(2), pages 300-313, April.
  • Handle: RePEc:wly:amposc:v:51:y:2007:i:2:p:300-313
    DOI: 10.1111/j.1540-5907.2007.00252.x
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    Cited by:

    1. David P Baron, 2018. "Elections and durable governments in parliamentary governments," Journal of Theoretical Politics, , vol. 30(1), pages 74-118, January.
    2. Quaresima, Federico, 2019. "Patronage Appointments between Politics and Public Governance: a Review," MPRA Paper 94650, University Library of Munich, Germany.
    3. Enzo Lenine, 2020. "Modelling Coalitions: From Concept Formation to Tailoring Empirical Explanations," Games, MDPI, vol. 11(4), pages 1-12, November.
    4. Shin, Euncheol, 2019. "A model of pre-electoral coalition formation," Games and Economic Behavior, Elsevier, vol. 118(C), pages 463-485.
    5. Gary W. Cox & Jon H. Fiva & Daniel M. Smith & Rune J. Sørensen, 2020. "Moral Hazard in Electoral Teams," CESifo Working Paper Series 8357, CESifo.
    6. Alejandro Ecker & Thomas M. Meyer, 2019. "Fairness and qualitative portfolio allocation in multiparty governments," Public Choice, Springer, vol. 181(3), pages 309-330, December.
    7. Thomas Fujiwara & Carlos Sanz, 2020. "Rank Effects in Bargaining: Evidence from Government Formation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(3), pages 1261-1295.
    8. M. Puy, 2013. "Stable coalition governments: the case of three political parties," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(1), pages 65-87, January.
    9. Blane D. Lewis & Adrianus Hendrawan, 2018. "The impact of mayor-council coalitions on local government spending, service delivery, and corruption in Indonesia," Departmental Working Papers 2018-19, The Australian National University, Arndt-Corden Department of Economics.
    10. Lewis, Blane D. & Hendrawan, Adrianus, 2019. "The impact of majority coalitions on local government spending, service delivery, and corruption in Indonesia," European Journal of Political Economy, Elsevier, vol. 58(C), pages 178-191.
    11. Cox, Gary W. & Fiva, Jon H. & Smith, Daniel M. & Sørensen, Rune J., 2021. "Moral hazard in electoral teams: List rank and campaign effort," Journal of Public Economics, Elsevier, vol. 200(C).

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