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      Just Advisory and Maximally Representative: A Conjoint Experiment on Non-Participants' Legitimacy Perceptions of Deliberative Forums

      Journal of Deliberative Democracy
      University of Westminster Press

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          Abstract

          Citizen involvement in deliberative forums is frequently discussed with an eye to boosting the legitimacy of decision-making. However, this idea has been radically challenged by Cristina Lafont (2015, 2017, 2019), who argues that deliberative forums may decrease rather than increase legitimacy. Yet Lafont’s legitimacy challenge has been primarily discussed at a theoretical level without taking the perceptions of citizens into account. Referring to an explorative student conjoint experiment this article examines how non-participants assess deliberative forums. It focuses on different authorization mechanisms and a set of institutional design features and combines them with non-participants’ substantive considerations and their awareness of such forums. Empirical findings of the student sample confirm Lafont’s critique, as they suggest that respondents want the authority of deliberative forums to be clearly circumscribed and minimal but also maximally representative and inclusive. Moreover, legitimacy perceptions are closely tied to substantive considerations and awareness of such novel and unfamiliar institutions.

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          Most cited references48

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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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            The Group Engagement Model: Procedural Justice, Social Identity, and Cooperative Behavior

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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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                Author and article information

                Journal
                Journal of Deliberative Democracy
                University of Westminster Press
                2634-0488
                March 25 2021
                April 23 2021
                : 17
                : 1
                Article
                10.16997/jdd.973
                548075c3-90ed-4e98-be10-8efec77561a3
                © 2021

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

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