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How Do We Know What People Think Locally? New Insights on Survey Accuracy

National surveys often struggle to capture nuanced public opinion at the constituency level. This paper evaluates two methods—external validation using 2010 election data and cross-validation of EU opinions—to improve estimates from national samples.

Data & Methods:

The authors analyze party vote share in Britain's 2010 general election alongside surveys on attitudes toward the European Union. They employ post-stratification with individual-level predictors and geographic local smoothing to refine constituency-based opinion estimates.

Key Findings: Constituency accuracy gains primarily stem from incorporating basic, accessible predictors rather than complex factors.

  • Adding simple constituency-level variables significantly boosts estimation quality.
  • Post-stratification techniques correct biases in unrepresentative national samples.
  • Geographic smoothing compensates for weak local predictor data.

Why It Matters: These straightforward methods effectively address the challenge of estimating localized public opinion, offering practical solutions for researchers dealing with limited survey data across many constituencies.

Political Science Research & Methods
Comparing Strategies for Estimating Constituency Opinion from National Survey Samples was authored by Chris Hanretty, Ben Lauderdale and Nick Vivyan. It was published in PSR&M in 2018. Find on Google Scholar10.1017/psrm.2015.79
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