Candidate Uncertainty, Mental Models, and Complexity: Some Experimental Results

Since the work of Downs (1957), spatial models of elections have been a mainstay of research in political science and public choice. Despite the plethora of theoretical and empirical research involving spatial models, researchers have not considered in great detail the complexity of the decision tas...

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Published inPublic choice Vol. 132; no. 1/2; pp. 231 - 246
Main Authors Ensley, Michael J., de Marchi, Scott, Munger, Michael C.
Format Journal Article
LanguageEnglish
Published Dordrecht Springer 01.07.2007
Springer Nature B.V
Subjects
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ISSN0048-5829
1573-7101
DOI10.1007/s11127-007-9149-x

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Abstract Since the work of Downs (1957), spatial models of elections have been a mainstay of research in political science and public choice. Despite the plethora of theoretical and empirical research involving spatial models, researchers have not considered in great detail the complexity of the decision task that a candidate confronts. Two facets of a candidate's decision process are investigated here, using a set of laboratory experiments where subjects face a fixed incumbent in a two-dimensional policy space. First, we analyze the effect that the complexity of the electoral landscape has on the ability of the subject to defeat the incumbent. Second, we analyze the impact that a subject's "mental model" (which we infer from a pre-experiment questionnaire) has on her performance. The experimental results suggest that the complexity of a candidate's decision task and her perception of the task may be important factors in electoral competition.
AbstractList Since the work of Downs (1957), spatial models of elections have been a mainstay of research in political science and public choice. Despite the plethora of theoretical and empirical research involving spatial models, researchers have not considered in great detail the complexity of the decision task that a candidate confronts. Two facets of a candidate's decision process are investigated here, using a set of laboratory experiments where subjects face a fixed incumbent in a two-dimensional policy space. First, we analyze the effect that the complexity of the electoral landscape has on the ability of the subject to defeat the incumbent. Second, we analyze the impact that a subject's 'mental model' (which we infer from a pre-experiment questionnaire) has on her performance. The experimental results suggest that the complexity of a candidate's decision task and her perception of the task may be important factors in electoral competition. Adapted from the source document.
Since the work of Downs (1957), spatial models of elections have been a mainstay of research in political science and public choice. Despite the plethora of theoretical and empirical research involving spatial models, researchers have not considered in great detail the complexity of the decision task that a candidate confronts. Two facets of a candidate's decision process are investigated here, using a set of laboratory experiments where subjects face a fixed incumbent in a two-dimensional policy space. First, we analyze the effect that the complexity of the electoral landscape has on the ability of the subject to defeat the incumbent. Second, we analyze the impact that a subject's 'mental model' (which we infer from a pre-experiment questionnaire) has on her performance. The experimental results suggest that the complexity of a candidate's decision task and her perception of the task may be important factors in electoral competition. Reprinted by permission of Springer
Since the work of Downs (1957), spatial models of elections have been a mainstay of research in political science and public choice. Despite the plethora of theoretical and empirical research involving spatial models, researchers have not considered in great detail the complexity of the decision task that a candidate confronts. Two facets of a candidate's decision process are investigated here, using a set of laboratory experiments where subjects face a fixed incumbent in a two-dimensional policy space. First, we analyze the effect that the complexity of the electoral landscape has on the ability of the subject to defeat the incumbent. Second, we analyze the impact that a subject's "mental model" (which we infer from a pre-experiment questionnaire) has on her performance. The experimental results suggest that the complexity of a candidate's decision task and her perception of the task may be important factors in electoral competition. [PUBLICATION ABSTRACT]
Since the work of Downs (1957), spatial models of elections have been a mainstay of research in political science and public choice. Despite the plethora of theoretical and empirical research involving spatial models, researchers have not considered in great detail the complexity of the decision task that a candidate confronts. Two facets of a candidate's decision process are investigated here, using a set of laboratory experiments where subjects face a fixed incumbent in a two-dimensional policy space. First, we analyze the effect that the complexity of the electoral landscape has on the ability of the subject to defeat the incumbent. Second, we analyze the impact that a subject's "mental model" (which we infer from a pre-experiment questionnaire) has on her performance. The experimental results suggest that the complexity of a candidate's decision task and her perception of the task may be important factors in electoral competition.
Author Munger, Michael C.
Ensley, Michael J.
de Marchi, Scott
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SubjectTerms Candidates
Cognitive models
Competition
Complexity
Decision Making
Decision Models
Decisions
Elections
Experimentation
Experiments
Incumbency
Incumbents
Mental models
Perceptions
Political campaigns
Political candidates
Political ideologies
Political parties
Political science
Political science research
Politics
Public choice
Questionnaires
Research methodology
Space
Spatial models
Studies
Uncertainty
Voters
Voting
Title Candidate Uncertainty, Mental Models, and Complexity: Some Experimental Results
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Volume 132
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