Reference health
Predicting ‘Who Voted for Brexit’ Through Ecological Analysis – An Example of the Problem of Confounding, and its Resolution
14/14 checkable references clean · checked 2026-08-28
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
3 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 14 checked references that resolve
resolves10.1111/1467-923x.12285
The 2016 Referendum, Brexit and the Left Behind: An Aggregate‐level Analysis of the Result
resolves10.1007/s11135-017-0584-6
Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour
resolves10.1080/13562576.2018.1486349
Geographies of Brexit and its aftermath: voting in England at the 2016 referendum and the 2017 general election
resolves10.1162/daed_a_00443
Referendum vs. Institutionalized Deliberation: What Democratic Theorists Can Learn from the 2016 Brexit Decision
resolves10.1016/j.worlddev.2017.07.017
New Findings on Key Factors Influencing the UK’s Referendum on Leaving the EU
The 3 references without a DOI — listed, not checked
no DOI — not checkedThe geography of Brexit -what geography? Modelling and predicting the outcome across 380 local authorities
no DOI — not checkedref9
no DOI — not checkedApplying principal components regression analysis to time series demand estimation
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