Cited by 47Electoral Systems and Political ParticipationDecision-Making and Behavioral EconomicsSocial and Intergroup Psychology

A tale of two peoples: motivated reasoning in the aftermath of the Brexit Vote

Open access
Sorace, Miriam, Hobolt, Sara Binzer·2021·Political Science Research and Methods

Abstract

Partisanship is a powerful driver of economic perceptions. Yet we know less about whether other political divisions may lead to similar evaluative biases. In this paper, we explore how the salient divide between “Remainers” and “Leavers” in the UK in the aftermath of the Brexit referendum has given rise to biased economic perceptions. In line with the cognitive dissonance framework, we argue that salient non-partisan divisions can change economic perceptions by triggering processes of self- and in-group justification. Using both nationally-representative observational and experimental survey data, we demonstrate that the perceptions of the economy are shaped by the Brexit divide and that these biases are exacerbated when respondents are reminded of Brexit. These findings indicate that perceptual biases are not always rooted in partisanship, but can be triggered by other political divisions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/psrm.2020.50

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In the UK Brexit referendum, both supporters and opponents exhibited ego-justifying and group-justifying biases that increased issue polarization on economic matters.

    “Both sides exhibited ego-justifying and group-justifying biases that increased issue polarization on economic matters335, and high levels of affective polarization ensued336.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 41

  1. Abramowitz, A. I. and K. L. Saunders (1998). Ideological realignment in the US electorate. The Journal of Politics 60 (3), 634-652.
  2. Anderson, C., A. Blais, S. Bowler, T. Donovan, and O. Listhaug (2005). Loser's Consent. Oxford University Press.
  3. Barber, M. and J. C. Pope (2019). Does party trump ideology? Disentangling party and ideology in America. American Political Science Review , 1-17.
  4. Bisgaard, M. (2015). Bias Will Find a Way: Economic Perceptions, Attributions of Blame, and Partisan-Motivated Reasoning during Crisis. The Journal of Poli- tics 77 (3), 849-860.
  5. Bosch, A. (2016). Types of economic voting in regional elections: the 2012 Catalan election as a motivating case. Journal of Elections, Public Opinion and Par- ties 26 (1), 115-134.
  6. Campbell, A., P. E. Converse, W. E. Miller, and D. Stokes (1960). The American Voter. New York: Wiley.
  7. Conover, P. J. and S. Feldman (1981). The origins and meaning of lib- eral/conservative self-identifications. American Journal of Political Science, 617- 645.
  8. Cooper, J. (2007). Cognitive Dissonance Fifty Years of a Classic Theory. London: SAGE.
  9. Curtice, J. (2017). Why Leave won the UK's EU referendum. JCMS: Journal of Common Market Studies 55, 19-37.
  10. De Boef, S. and P. M. Kellstedt (2004). The political (and economic) origins of consumer confidence. American Journal of Political Science 48 (4), 633-649.
  11. Enns, P. K., P. M. Kellstedt, and G. E. McAvoy (2012). The consequences of partisanship in economic perceptions. Public Opinion Quarterly 76 (2), 287-310.
  12. Evans, G. and R. Andersen (2006). The Political Conditioning of Economic Percep- tions. The Journal of Politics 68 (1), 194-207.
  13. Evans, G. and A. Menon (2017). Brexit and British politics. John Wiley & Sons.
  14. Evans, G. and M. Pickup (2010). Reversing the Causal Arrow: The Political Con- ditioning of Economic Perceptions in the 2000-2004 U.S. Presidential Election Cycle. The Journal of Politics 72 (4), 1236-1251.
  15. Fiorina, M. P. (1978). Economic retrospective voting in American national elections: A micro-analysis. American Journal of Political Science, 426-443.
  16. Fiorina, M. P. (1981). Retrospective voting in American national elections. New Haven: Yale University Press.
  17. Hix, S. (2008). What's wrong with the EU and how to fix it. Cambridge: Polity Press.
  18. Hobolt, S. B. (2016). The Brexit vote: a divided nation, a divided continent. Journal of European Public Policy 23 (9), 1259-1277.
  19. Hobolt, S. B. (2018). Brexit and the 2017 UK general election. JCMS: Journal of Common Market Studies 56, 39-50.
  20. Hobolt, S. B., T. Leeper, and J. Tilley (2020). Divided by the vote: Affective polarization in the wake of Brexit. British Journal of Political Science.
  21. Key, V. O. (1966). The responsible electorate. Harvard University Press Cambridge, MA.
  22. Kiewiet, D. R. and D. Rivers (1984). A retrospective on retrospective voting. Po- litical behavior 6 (4), 369-393.
  23. Kinder, D. R. and D. R. Kiewiet (1979). Economic discontent and political behavior: The role of personal grievances and collective economic judgments in congressional voting. American Journal of Political Science, 495-527.
  24. Kinder, D. R. and D. R. Kiewiet (1981). Sociotropic politics: the American case. British Journal of Political Science 11 (2), 129-161.
  25. Kramer, G. H. (1971). Short-term fluctuations in US voting behavior, 1896-1964. American political science review 65 (1), 131-143.
  26. Kuklinski, J. H., P. J. Quirk, J. Jerit, D. Schwieder, and R. F. Rich (2000). Misin- formation and the currency of democratic citizenship. Journal of Politics 62 (3), 790-816.
  27. Lauderdale, B. E. (2016). Partisan disagreements arising from rationalization of common information. Political Science Research and Methods 4 (3), 477-492.
  28. Lewis-Beck, M. S. and M. Stegmaier (2000). Economic determinants of electoral outcomes. Annual Review of Political Science 3 (1), 183-219.
  29. Lodge, M., C. Taber, and C. Weber (2006). First Steps Toward a Dual-Process Ac- cessibility Model of Political Beliefs, Attitudes, and Behavior. In D. P. Redlawsk (Ed.), Feeling Politics. New York: Palgrave.
  30. Martí, D. and D. Cetrà (2016). The 2015 Catalan election: a de facto referendum on independence? Regional & Federal Studies 26 (1), 107-119.
  31. Muñoz, J. and R. Tormos (2015). Economic expectations and support for secession in Catalonia: between causality and rationalization. European Political Science Review 7 (2), 315-341.
  32. Nyhan, B. and J. Reifler (2010). When corrections fail: The persistence of political misperceptions. Political Behavior 32 (2), 303-330.
  33. Redlawsk, D. P. (2002). Hot Cognition or Cool Consideration? Testing the Effects of Motivated Reasoning on Political Decision Making. The Journal of Politics 64 (4), 1021-1044.
  34. Redlawsk, D. P. (2006). Feeling Politics: Emotion in Political Information Process- ing. Palgrave MacMillan.
  35. Richards, L., A. Heath, and N. Carl (2018). Red lines and compromises: Mapping underlying complexities of Brexit preferences. The Political Quarterly 89 (2), 280- 290.
  36. Setälä, M. (1999). Referendums and Democratic Government. Normative Theory and the Analysis of Institutions. Palgrave.
  37. Tilley, J. and S. B. Hobolt (2011). Is the government to blame? An experimental test of how partisanship shapes perceptions of performance and responsibility. The Journal of Politics 73 (2), 316-330.
  38. Tilley, J., A. Neundorf, and S. B. Hobolt (2018). When the pound in people's pocket matters: How changes to personal financial circumstances affect party choice. The Journal of Politics 80 (2), 555-569.
  39. Verbeek, M. and T. Nijman (1992). Testing for selectivity bias in panel data models. International Economic Review , 681-703.
  40. Wlezien, C., M. Franklin, and D. Twiggs (1997). Economic perceptions and vote choice: Disentangling the endogeneity. Political Behavior 19 (1), 7-17.
  41. Zaller, J. R. (1992). The Nature and Origins of Mass Opinion. Cambridge: Cam- bridge University Press.

Cited by

Sorted by citations

Authors
Sorace, M., & Hobolt, S. B.
Affiliations
  • University of Kent (GB)
  • London School of Economics and Political Science (GB)
Corresponding author
Sorace, Miriam
Venue
Political Science Research and Methods
Published
2020-12-22
Volume
9
Issue
4
Pages
675-692
ISSN
  • 2049-8470 (ISSN-L)
  • 2049-8489
OpenAlex
W3036163992
Cited by
47
References
4
Citations by year
2026: 15 · 2025: 5 · 2024: 8 · 2023: 8 · 2022: 4 · 2021: 7
FWCI
16.40
Type
journal article
Language
en
Open access
Locations
  • Political Science Research and Methods (publishedVersion)
  • London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
  • Kent Academic Repository (University of Kent) (submittedVersion)
  • London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
Keywords
motivated reasoning, Brexit referendum, economic perceptions, cognitive dissonance, self-justification, political division

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review