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Forecasting Referendums: A Structural Model Predicting Adoption and Support in Irish Plebiscites 1968–2024

Author

Listed:
  • Stephen Quinlan

    (GESIS—Leibniz Institute for the Social Sciences, Germany)

  • Michael S. Lewis-Beck

    (Department of Political Science, University of Iowa, USA)

  • Matt Qvortrup

    (Centre for European Studies, Australian National University, Australia)

Abstract

Election prediction flourishes among pollsters, the media, academics, and political anoraks, with four significant prognostic paradigms: opinion polls, markets, structural models, and hybrid approaches. Structural models, inspired by political science theory and based on so-called “fundamental” indicators, have a long pedigree in predicting government performance in elections cross-nationally. Despite their prevalence and prowess in forecasting contests for government, these structural models have not been applied to predict referendums, where the prognosis game, as far as it exists, primarily relies on polls. Perhaps this is unsurprising given that plebiscites can be especially hard to forecast given that citizens often vote on complex subjects not always salient in public discourse, partisan cues are sometimes lacking, and late opinion shifts are arguably more common than in elections. In this contribution, we break new ground by fusing two strands of political science literature—election forecasting and referendums—and devise a prediction model of plebiscites based on economic, institutional, and historical variables, thereby providing the first structural forecasting model to account for referendum adoption and support levels. We apply this model ex-post to 42 national referendums in Ireland between 1968 and 2024 to test its applicability ex-ante. In Europe, Ireland stands third only to Switzerland and Italy as polities that regularly employ referendums to decide public policy issues. With reasonable lead time, ex-post estimates of our model offer solid predictions of the referendums’ outcome, with out-of-sample estimates calling the outcome correctly 68%–79% of the time, a remarkable feat given that the issues up for decision are varied. Moreover, we demonstrate that our model’s predictions are competitive with opinion poll estimates of these contests, illustrating that while our model is not a panacea, it provides a reasonable starting point for predicting the outcomes of referendums in Ireland and, importantly, plants a vital seed for future work on forecasting plebiscites using model approaches.

Suggested Citation

  • Stephen Quinlan & Michael S. Lewis-Beck & Matt Qvortrup, 2025. "Forecasting Referendums: A Structural Model Predicting Adoption and Support in Irish Plebiscites 1968–2024," Politics and Governance, Cogitatio Press, vol. 13.
  • Handle: RePEc:cog:poango:v13:y:2025:a:9378
    DOI: 10.17645/pag.9378
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    References listed on IDEAS

    as
    1. Johan A. Elkink & Stephen Quinlan & Richard Sinnott, 2019. "Economic Voting in EU Referendums: Sociotropic versus Egocentric Voting in the Lisbon Treaty Plebiscites in Ireland," Politics and Governance, Cogitatio Press, vol. 7(2), pages 334-350.
    2. Clarke, Harold D. & Kornberg, Allan & Stewart, Marianne C., 2004. "Referendum Voting as Political Choice: The Case of Quebec," British Journal of Political Science, Cambridge University Press, vol. 34(2), pages 345-355, April.
    3. Johan A. Elkink & Stephen Quinlan & Richard Sinnott, 2019. "Economic Voting in EU Referendums: Sociotropic versus Egocentric Voting in the Lisbon Treaty Plebiscites in Ireland," Politics and Governance, Cogitatio Press, vol. 7(2), pages 334-350.
    4. Lewis-Beck, Michael S. & Tien, Charles, 2012. "Japanese election forecasting: Classic tests of a hard case," International Journal of Forecasting, Elsevier, vol. 28(4), pages 797-803.
    5. Bellucci, Paolo, 2010. "Election cycles and electoral forecasting in Italy, 1994-2008," International Journal of Forecasting, Elsevier, vol. 26(1), pages 54-67, January.
    6. Nicholas Bornstein & Philippe Thalmann, 2008. "“I Pay Enough Taxes Already!” Applying Economic Voting Models to Environmental Referendums," Social Science Quarterly, Southwestern Social Science Association, vol. 89(5), pages 1336-1355, December.
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