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      Empowered Minipublics for Democratic Renewal? Evidence from Three Conjoint Experiments in the United States, Ireland, and Finland

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      American Political Science Review
      Cambridge University Press (CUP)

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          Abstract

          This article investigates the potential of deliberative minipublics to provide a new set of institutions for democratic renewal. Using three preregistered and identical conjoint experiments in the United States, Ireland, and Finland, it first shows that minipublics are moderately attractive institutional innovations, but that in all three country contexts, citizens in general are very reluctant to grant them empowerment and autonomy as well as ask for additional provisions (such as large size or large majorities for recommendations). Subgroup analyses, however, reveal that especially participation in minipublics as well as trust in other citizens as decision-makers in combination with low political trust produces more support for empowered and autonomous minipublics. But what stands out in the empirical analysis is that most citizens want minipublics as additions to the representative system, not as a replacement of the existing democratic infrastructure, as some minipublic advocates have suggested.

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          Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

          Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show howconjoint analysis, an experimental design yet to be widely applied in political science, enables researchers to estimate the causal effects of multiple treatment components and assess several causal hypotheses simultaneously. In conjoint analysis, respondents score a set of alternatives, where each has randomly varied attributes. Here, we undertake a formal identification analysis to integrate conjoint analysis with the potential outcomes framework for causal inference. We propose a new causal estimand and show that it can be nonparametrically identified and easily estimated from conjoint data using a fully randomized design. The analysis enables us to propose diagnostic checks for the identification assumptions. We then demonstrate the value of these techniques through empirical applications to voter decision making and attitudes toward immigrants.
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            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.
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              Political Science and the Three New Institutionalisms

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                Author and article information

                Contributors
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                Journal
                American Political Science Review
                Am Polit Sci Rev
                Cambridge University Press (CUP)
                0003-0554
                1537-5943
                November 12 2024
                : 1-18
                Article
                10.1017/S0003055424001163
                a0e40da4-c334-4e88-8f56-22bf69214948
                © 2024

                http://creativecommons.org/licenses/by/4.0

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