Replication Data for: "Comparing Strategies for Estimating Constituency Opinion from National Survey Samples"

Lauderdale, B., Hanretty, C. & Vivyan, N. (2016). Replication Data for: "Comparing Strategies for Estimating Constituency Opinion from National Survey Samples". [Dataset]. Harvard Dataverse. https://doi.org/10.7910/dvn/ivnnbk
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Political scientists interested in estimating how public opinion varies by constituency have developed several strategies for supplementing limited constituency survey data with additional sources of information. We present two evaluation studies in the previously unexamined context of British constituency-level opinion: an external validation study of party vote share in the 2010 General Election, and a cross-validation of opinion towards the European Union. We find that most of the gains over direct estimation come from the inclusion of constituency-level predictors, which are also the easiest source of additional information to incorporate. Individual level predictors combined with post-stratification particularly improve estimates from unrepresentative samples, and geographic local smoothing can compensate for weak constituency-level predictors. We argue that these findings are likely to be representative of applications of these methods where the number of constituencies is large.

Available at: 10.7910/dvn/ivnnbk

Access level: Open

Licence: CC0 1.0


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