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Forecasting Referendums: A Structural Model Predicting Adoption and Support in Irish Plebiscites 1968-2024
Journal article   Open access   Peer reviewed

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

Stephen Quinlan, Michael S Lewis-Beck and Matt Qvortrup
Politics and governance, Vol.13, 9378
04/28/2025
DOI: 10.17645/pag.9378
url
https://doi.org/10.17645/pag.9378View
Published (Version of record) Open Access

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.
Ireland election research Irland Prognose prognosis referendum structural model Strukturmodell Volksentscheid Wahlforschung

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