15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      The Ties That Double Bind: Social Roles and Women's Underrepresentation in Politics

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper theorizes three forms of bias that might limit women's representation: outright hostility, double standards, and a double bind whereby desired traits present bigger burdens for women than men. We examine these forms of bias using conjoint experiments derived from several original surveys—a population survey of American voters and two rounds of surveys of American public officials. We find no evidence of outright discrimination or of double standards. All else equal, most groups of respondents prefer female candidates, and evaluate men and women with identical profiles similarly. But on closer inspection, all is not equal. Across the board, elites and voters prefer candidates with traditional household profiles such as being married and having children, resulting in a double bind for many women. So long as social expectations about women's familial commitments cut against the demands of a full-time political career, women are likely to remain underrepresented in politics.

          Related collections

          Most cited references77

          • Record: found
          • Abstract: found
          • Article: not found

          Validating vignette and conjoint survey experiments against real-world behavior.

          Survey experiments, like vignette and conjoint analyses, are widely used in the social sciences to elicit stated preferences and study how humans make multidimensional choices. However, there is a paucity of research on the external validity of these methods that examines whether the determinants that explain hypothetical choices made by survey respondents match the determinants that explain what subjects actually do when making similar choices in real-world situations. This study compares results from conjoint and vignette analyses on which immigrant attributes generate support for naturalization with closely corresponding behavioral data from a natural experiment in Switzerland, where some municipalities used referendums to decide on the citizenship applications of foreign residents. Using a representative sample from the same population and the official descriptions of applicant characteristics that voters received before each referendum as a behavioral benchmark, we find that the effects of the applicant attributes estimated from the survey experiments perform remarkably well in recovering the effects of the same attributes in the behavioral benchmark. We also find important differences in the relative performances of the different designs. Overall, the paired conjoint design, where respondents evaluate two immigrants side by side, comes closest to the behavioral benchmark; on average, its estimates are within 2% percentage points of the effects in the behavioral benchmark.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Gauging the Impact of Growing Nonresponse on Estimates from a National RDD Telephone Survey

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              What’s in a Name: Exposing Gender Bias in Student Ratings of Teaching

                Bookmark

                Author and article information

                Journal
                applab
                American Political Science Review
                Am Polit Sci Rev
                Cambridge University Press (CUP)
                0003-0554
                1537-5943
                June 19 2018
                : 1-17
                Article
                10.1017/S0003055418000217
                018486b7-8c7e-4079-9c07-1ef27b76fe8a
                © 2018
                History

                Comments

                Comment on this article