Replication data for: A Statistical Model of Multiparty Electoral Data (doi:10.7910/DVN/NDS9AT)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication data for: A Statistical Model of Multiparty Electoral Data

Identification Number:

doi:10.7910/DVN/NDS9AT

Distributor:

Harvard Dataverse

Date of Distribution:

2007-11-28

Version:

4

Bibliographic Citation:

Katz, Jonathan; King, Gary, 2007, "Replication data for: A Statistical Model of Multiparty Electoral Data", https://doi.org/10.7910/DVN/NDS9AT, Harvard Dataverse, V4, UNF:3:3A6gC0ispQT2LLLLtrJc9w== [fileUNF]

Study Description

Citation

Title:

Replication data for: A Statistical Model of Multiparty Electoral Data

Identification Number:

doi:10.7910/DVN/NDS9AT

Authoring Entity:

Katz, Jonathan (California Institute of Technology)

King, Gary (Harvard University)

Date of Production:

1999

Distributor:

Harvard Dataverse

Distributor:

Harvard Dataverse

Date of Deposit:

2006

Date of Distribution:

1999

Holdings Information:

https://doi.org/10.7910/DVN/NDS9AT

Study Scope

Keywords:

Social Sciences

Abstract:

We propose a comprehensive statistical model for analyzing multiparty, district-level elections. This model, which provides a tool for comparative politics research analagous to that which regression analysis provides in the American two-party context, can be used to explain or predict how geographic distributions of electoral results depend upon economic conditions, neighborhood ethnic compositions, campaign spending, and other features of the election campaign or aggregate areas. We also provide new graphical representations for data exploration, model evaluation, and substantive interpretation. We illustrate the use of this model by attempting to resolve a controversy over the size of and trend in electoral advantage of incumbency in Britain. Contrary to previous analyses, all based on measures now known to be biased, we demonstrate that the advantage is small but meaningful, varies substantially across the parties, and is not growing. Finally, we show how to estimate the party from which each party's advantage is predominantly drawn. <br /> <br /> Related work includes "A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data," which generalizes this paper's ideas. (Article: <a href="http://gking.harvard.edu/files/trip.pdf" target="_blank">PDF</a> | Abstract: <a href= "http://gking.harvard.edu/files/abs/trip-abs.shtml" target="_blank">HTML</a>) <br /><br /> See also: <a href="http://gking.harvard.edu/category/research-interests/applications/incumbency-advantage" target="_blank">Incumbency Advantage</a>; <a href="http://gking.harvard.edu/category/research-interests/methods/missing-data" target="_blank">Missing Data</a>

Methodology and Processing

Sources Statement

Data Access

Notes:

This dataset is made available without information on how it can be used. You should communicate with the Contact(s) specified before use.

Other Study Description Materials

Related Publications

Citation

Title:

Katz, Jonathan, and Gary King. 1999. A Statistical Model for Multiparty Electoral Data. American Political Science Review 93: 15–32: <a href="http://j.mp/kd1Axa" target="_blank">Link to article</a> and <a href="http://nrs.harvard.edu/urn-3:HUL.InstRepos:3992146" target="_blank">Link to DASH</a>

Bibliographic Citation:

Katz, Jonathan, and Gary King. 1999. A Statistical Model for Multiparty Electoral Data. American Political Science Review 93: 15–32: <a href="http://j.mp/kd1Axa" target="_blank">Link to article</a> and <a href="http://nrs.harvard.edu/urn-3:HUL.InstRepos:3992146" target="_blank">Link to DASH</a>

File Description--f110960

File: uk5592.sav.tab

  • Number of cases: 569

  • No. of variables per record: 56

  • Type of File: text/tab-separated-values

Notes:

UNF:3:3A6gC0ispQT2LLLLtrJc9w==

Variable Description

List of Variables:

Variables

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Other Study-Related Materials

Label:

comp2 .dec

Text:

Core Gauss estimation functions

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

comp2.ext

Text:

Core Gauss estimation functions

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

comp2.lcg

Text:

Core Gauss estimation functions

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

comp2.src

Text:

Core Gauss estimation functions

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

ConEff5992p.fmt

Text:

Supplementary file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

cov5992p.fmt

Text:

Supplementary file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

exist.g

Text:

Gauss functions on which the codes in comp2 relies

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig0.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig1.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig2.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig3.prg

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig3.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig4.prg

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig4.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig5.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig6.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

fig7.q

Text:

File to produce postscript files of the figures in the article

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

inc.eff.plot.q

Text:

Creates plots for incubency effects in three party systems

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

inc.results1p.prg

Text:

Program to use in conjuction with inc.results1p.q

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

inc.results1p.q

Text:

Reads the gauss results into S-Plus for plotting

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

incrun.g

Text:

File for calculating incummbency effects

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

incsim.g

Text:

File for calculating incummbency effects via stimulation

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

LabEff5992p.fmt

Text:

Supplementary file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

LibEff5992p.fmt

Text:

Supplementary file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

load.uk.data.prg

Text:

Loads the data in the file uk5592.eng.asc and is used in inc.results1p.prg, the central code for estimating our model. Running this file will generate the raw results from the paper

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

lpack.lcg

Text:

Lpack libraries that define Gauss functions used in comp2

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

lpack.src

Text:

Lpack libraries that define Gauss functions used in comp2

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

mnli.g

Text:

Gauss functions file

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

probs.lcg

Text:

Probs libraries that define Gauss functions used in comp2

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

probs.src

Text:

Probs libraries that define Gauss functions used in comp2

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

README

Text:

Detailed information on data and documentation files

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

rg.tern.q

Text:

Contains S-Plus code to provide generic functions for creating ternary an dynamic ternary diagrams

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

rg.tern2.q

Text:

Contains S-Plus code to provide generic functions for creating ternary an dynamic ternary diagrams

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

StatisticalModelParity.pdf

Text:

Article based on the study: A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data

Notes:

application/pdf

Other Study-Related Materials

Label:

tdfi.g

Text:

Gauss functions file

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

theta5992p.fmt

Text:

Supplementary file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

tsigi.g

Text:

Gauss functions

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

uk.inc.model1p.prg

Text:

Program for creating output file uk.inc.model1p.out

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

uk5592.eng.asc

Text:

Data file, ASCII text file format

Notes:

text/plain; charset=US-ASCII