Partisan stereotypes

Carmelo Licata and Pierre-Guillaume Méon

No 16-037, Working Papers CEB from ULB -- Universite Libre de Bruxelles

Abstract: Using two surveys, we study how respondents process visual cues to identify the political orientation (left- vs. right-wing) of members of the French National Assembly (referred to as “deputies”), based on official photographs only, to test the type of heuristic that they use. We first confirm that respondents outperform random guesses. Second, we find that their categorizations correlate with observable characteristics (gender, tie color, jewelry) and subjective assessments of deputies’ personality traits (attractiveness, competence, trustworthiness). Third, the objective visual cues that respondents use are consistent with the actual characteristics of left- and right-wing deputies, and respondents mistakenly react to subjective personality traits that differ little across the two groups of deputies. Fourth, left- and right-wing respondents use the same cues in the same way, attractiveness being the only exception. Fifth, the magnitude of the marginal impact of a characteristic on the probability of a respondent categorizing a photograph as left- or right-wing increases strictly with the representativeness of that characteristic. Finally, we find evidence that some characteristics correlate with categorization errors. Findings 1, 2, 4, and the finding that respondents use cues in the correct way are consistent with both Bayesian behavior and the representativeness heuristic. Findings 5, 6, and the finding that respondents react to subjective cues that do not differ across groups are at odds with Bayesian inference but consistent with the representativeness heuristic suggested by Kahneman and Tversky (1972) and recently modelled by Gennaioli and Shleifer (2010), and Bordalo et al. (forthcoming).

Keywords: Stereotypes; Appearance; Political candidates; Party affiliation (search for similar items in EconPapers)
JEL-codes: D72 D83 D84 J45 J70 (search for similar items in EconPapers)
Pages: 83 p.
Date: 2016-07-26
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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