Does the winner take it all? Redistributive policies and political extremism
Gianmarco Daniele,
Amedeo Piolatto and
Willem Sas ()
Authors registered in the RePEc Author Service: Massimo Bordignon () and
Gilberto TURATI ()
No 2020/01, Working Papers from Institut d'Economia de Barcelona (IEB)
Abstract:
We show that regional heterogeneity of underlying fundamentals (e.g. economic history, geography, natural resources, social capital) can lead to extreme voting in federations. When the outcome of federal policies { such as transfer schemes, market regulation, migration targets { depends on these fundamentals, the set of regions that benefits or loses from such a policy is fixed exogenously (for each given policy). This creates a strategic incentive for the median voter to elect extremely protective federal representatives, who will distort redistribution in favour of their constituency by influencing the choice of the policy magnitude. Interestingly, the benefits of selecting tough negotiators outweigh those of belonging to the ruling coalition. We test our predictions by looking at parties' performances at national and European Parliament elections from 1990 onwards, and find that strategic voting is indeed U-shaped: winning and losing member states vote more extremely than those in the middle. Our online survey provides further evidence.
Keywords: Strategic Delegation; Interregional Redistribution; Political Extremism; Federalism; Bargaining; Coalitions; EU Elections; Euroscepticism; Populism (search for similar items in EconPapers)
JEL-codes: H6 H71 H74 H77 (search for similar items in EconPapers)
Pages: 73 pages
Date: 2020
New Economics Papers: this item is included in nep-cdm, nep-eur and nep-pol
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Citations: View citations in EconPapers (4)
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Related works:
Working Paper: Does the Winner Take It All? Redistributive Policies and Political Extremism (2020) 
Working Paper: Does the Winner Take It All? Redistributive Policies and Political Extremism (2020) 
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Persistent link: https://EconPapers.repec.org/RePEc:ieb:wpaper:doc2020-01
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