2016
DOI: 10.1093/poq/nfw034
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Identifying and Interpreting the Sensitivity of Ethnic Voting in Africa

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Cited by 19 publications
(15 citation statements)
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References 39 publications
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“…This vector is added to estimate the standard errors more efficiently and contains respondents’ ethnicity, sex, age, education, province of residence, rural residence, whether the respondent feels close to a party, the respondent’s experience of food shortages within the past year and experience of electoral violence since 1992. We also include the interviewers’ mother tongue (linked to ethnicity) and years of experience in the field, since these characteristics may shape respondents’ choices (Carlson, 2016). X also includes the district index of ethnolinguistic fractionalization proposed by Alesina et al (2003) and the polarization index proposed by Montalvo & Reynal-Querol (2003), since these indices might influence vote choice (Isaksson & Bigsten, 2017).…”
Section: Analysis and Discussionmentioning
confidence: 99%
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“…This vector is added to estimate the standard errors more efficiently and contains respondents’ ethnicity, sex, age, education, province of residence, rural residence, whether the respondent feels close to a party, the respondent’s experience of food shortages within the past year and experience of electoral violence since 1992. We also include the interviewers’ mother tongue (linked to ethnicity) and years of experience in the field, since these characteristics may shape respondents’ choices (Carlson, 2016). X also includes the district index of ethnolinguistic fractionalization proposed by Alesina et al (2003) and the polarization index proposed by Montalvo & Reynal-Querol (2003), since these indices might influence vote choice (Isaksson & Bigsten, 2017).…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…This vector is added to estimate the standard errors more efficiently and contains respondents' ethnicity, sex, age, education, province of residence, rural residence, whether the respondent feels close to a party, the respondent's experience of food shortages within the past year, and experience of electoral violence since 1992. We also include the interviewers' mother tongue (linked to ethnicity) and years of experience in the field, since these characteristics may shape respondents' choices (Carlson, 2016).…”
Section: Conjoint Analysis Of the Two Ballotsmentioning
confidence: 99%
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“…Researchers investigated different aspects, such as the method of data collection (Blattman et al, 2016), the treatment of hard-to-measure concepts (Laajaj and Macours, 2017), the wording of the questions (Anker et al, 1987;Beaman and Dillon, 2012;Serneels et al, 2016;), questions placing within the survey questionnaire (Karlan and Zinman, 2012), and the length and level of detail of the questionnaire (Kalton and Schuman, 1982;de Mel, et al 2009;Beegle et al 2012;. Other studies look at how data quality is affected when household members report for others in the household (Bardasi et al, 2011), when the answers are to be reported publicly (Carlson, 2016), or when the repetition of surveys can be exhausting (Zwane et al, 2011). materialize because of enumerator behavior affecting non-response (Couper and Grove, 1992; West and Olson, 2010;Randall et al, 2013) or due to enumerator characteristics affecting the answers of the respondent (Brunton-Smith et al, 2017).…”
Section: Literaturementioning
confidence: 99%
“… 2. My argument necessarily assumes that the incumbent party is more powerful than the opposition. This assumption rests largely on the observation that regimes that are liberal enough to allow a strong opposition to flourish are generally not those where we would expect voters to be so afraid of either party that they would strategically misreport their preferences (beyond the impacts of social desirability or enumerator effects (Adida et al, 2016; Carlson, 2016)). Where we expect substantial strategic misreporting, therefore, we should also expect this misreporting to favor the incumbent. …”
mentioning
confidence: 99%