6533b829fe1ef96bd128a16a
RESEARCH PRODUCT
Estimating Polling Accuracy in Multiparty Elections Using Surveybias
Kai ArzheimerJocelyn Evanssubject
education.field_of_studyOpinion surveysbusiness.industryComputation05 social sciencesPopulationCensusPublic opinion01 natural sciences0506 political science010104 statistics & probabilityMathematics (miscellaneous)Statistics050602 political science & public administrationEconometricsMultinomial distribution0101 mathematicsPollingbusinesseducationMathematicsdescription
Any rigorous discussion of bias in opinion surveys requires a scalar measure of survey accuracy. Martin, Traugott, and Kennedy (2005, Public Opinion Quarterly 69: 342-369) propose such a measure A for the two-party case, and Arzheimer and Evans (2014, Political Analysis 22: 31-44) demonstrate how measures A'i, B, and Bw for the more common multiparty case can be derived. We describe the commands surveybias, surveybiasi, and surveybiasseries, which enable the fast computation of these binomial and multinomial measures of bias in opinion surveys. While the examples are based on pre-election surveys, the methodology applies to any multinomial variable whose true distribution in the population is known (for example, through census data).
year | journal | country | edition | language |
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2016-03-01 | The Stata Journal: Promoting communications on statistics and Stata |