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Part 1: Document Description
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Citation |
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Title: |
Replication data for: A Fast, Easy, & Efficient Estimator for Multiparty Electoral Data |
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Identification Number: |
doi:10.7910/DVN/F06OSQ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2010-02-18 |
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Version: |
1 |
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Bibliographic Citation: |
James Honaker; Jonathan N. Katz; Gary King, 2010, "Replication data for: A Fast, Easy, & Efficient Estimator for Multiparty Electoral Data", https://doi.org/10.7910/DVN/F06OSQ, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication data for: A Fast, Easy, & Efficient Estimator for Multiparty Electoral Data |
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Identification Number: |
doi:10.7910/DVN/F06OSQ |
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Authoring Entity: |
James Honaker (University of California) |
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Jonathan N. Katz (California Institute of Technology) |
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Gary King (Harvard University) |
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Producer: |
Political Analysis |
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Date of Production: |
2002 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Murray Research Archive |
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Date of Deposit: |
2010-02-18 |
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Holdings Information: |
https://doi.org/10.7910/DVN/F06OSQ |
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Study Scope |
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Abstract: |
Katz and King have previously developed a model for predicting or explaining aggregate electoral results in multiparty democracies. Their model is, in principle, analogous to what least-squares regression provides American political researchers in that two-party system. Katz and King applied their model to three-party elections in England and revealed a variety of new features of incumbency advantage and sources of party support. Although the mathematics of their statistical model covers any number of political parties, it is computationally demanding, and hence slow and numerically imprecise, with more than three parties. In this paper we produce an approximate method that works in practice with many parties without making too many theoretical compromises. Our approach is to treat the problem as one of missing data. This allows us to use a modification of the fast EMis algorithm of King, Honaker, Joseph, and Scheve and to provide easy-to-use software, while retaining the attractive features of the Katz and King model, such as the t distribution and explicit models for uncontested seats. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
James Honaker, Jonathan N. Katz and Gary King. 2002. "A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data." Political Analysis, 10 (1), 84-100. <a href= "http://pan.oxfordjournals.org/cgi/reprint/10/1/84" target= "_new">subscribe to Political Analysis to access the full article and supplementary data</a> |
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Bibliographic Citation: |
James Honaker, Jonathan N. Katz and Gary King. 2002. "A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data." Political Analysis, 10 (1), 84-100. <a href= "http://pan.oxfordjournals.org/cgi/reprint/10/1/84" target= "_new">subscribe to Political Analysis to access the full article and supplementary data</a> |