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Explaining Political Selection: What Factors Determine One's Party-List Rank at t+1?
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

This thesis contributes to the under-researched field of political selection, namely one’s re-selection onto the party list after one has been elected in the previous term. The theoretical rationale is to introduce a broader concept of political selection to a field mostly focused on political recruitment, one’s first point of entry into Politics. We show that the framework developed to study political recruitment can be adapted to study any kind of political selection that involves a broad pool of aspirants from which successful candidates must be selected. To this end, we utilise a panel dataset containing data on 387 Czech legislators covering the period between 1996 and 2013. Using fixed- and random-effects panel models, we show that voting along the party line and preferential vote share at time t are strong predictors of getting a better party-list rank at t+1. Legislative experience, however, is negatively associated with how well one fares at the re-selection process. We also provide evidence that it is left-wing parties rather than their right-wing counterparts that discriminate against women at the re-selection stage. The study thus contributes, directly or otherwise, to debates on women’s representation, political careers and re-election.

Place, publisher, year, edition, pages
2014. , 46 p.
Keyword [en]
re-election, fixed effects, random effects, panel data
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-226081OAI: oai:DiVA.org:uu-226081DiVA: diva2:723764
Subject / course
Statistics
Presentation
2014-06-05, 13:18 (English)
Supervisors
Available from: 2014-06-13 Created: 2014-06-11 Last updated: 2014-06-13Bibliographically approved

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Department of Statistics
Probability Theory and Statistics

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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