Replication Data for: A New Approach to the Study of Parties Entering Government (doi:10.7910/DVN/3PHAUF)

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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
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Document Description

Citation

Title:

Replication Data for: A New Approach to the Study of Parties Entering Government

Identification Number:

doi:10.7910/DVN/3PHAUF

Distributor:

Harvard Dataverse

Date of Distribution:

2022-05-18

Version:

1

Bibliographic Citation:

Golder, Sona; Glasgow, Garrett, 2022, "Replication Data for: A New Approach to the Study of Parties Entering Government", https://doi.org/10.7910/DVN/3PHAUF, Harvard Dataverse, V1, UNF:6:h4rRJr5TIj3EuJMUimiC6A== [fileUNF]

Study Description

Citation

Title:

Replication Data for: A New Approach to the Study of Parties Entering Government

Identification Number:

doi:10.7910/DVN/3PHAUF

Authoring Entity:

Golder, Sona (Penn State University)

Glasgow, Garrett (NERA Economic Consulting)

Distributor:

Harvard Dataverse

Access Authority:

Golder, Sona

Access Authority:

Glasgow, Garrett

Depositor:

Golder, Sona

Date of Deposit:

2022-05-16

Holdings Information:

https://doi.org/10.7910/DVN/3PHAUF

Study Scope

Keywords:

Social Sciences, Social Sciences

Abstract:

Previous studies of the factors that influence the ability of parties to join governments have estimated binary choice models using the parties as the unit of analysis, which inappropriately treats each party in a government formation opportunity as an independent observation (a problem that clustered standard errors do not solve) and does not allow researchers to control for important coalition-level effects. This article demonstrates that a preferred methodological approach is to first estimate a standard multinomial choice model (conditional logit or mixed logit) of coalition formation, using government formation opportunities as the unit of analysis and potential governments as the choice alternatives. The probabilities of parties joining governments can then be recovered by simply summing the probabilities for the potential governments that contain each party. An empirical example shows how the substantive conclusions about a party's likelihood of entering office can change depending on the methodological approach taken.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1017/S0007123414000015

Bibliographic Citation:

A New Approach to the Study of Parties Entering Government. 2015. Garrett Glasgow & Sona N. Golder. British Journal of Political Science. 45(4): 739-754.

File Description--f6295940

File: partydata_BJPS.tab

  • Number of cases: 1748

  • No. of variables per record: 13

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

Notes:

UNF:6:h4rRJr5TIj3EuJMUimiC6A==

Variable Description

List of Variables:

Variables

1st digits=country code, 2nd digits=cabinet code

f6295940 Location:

Summary Statistics: Valid 1748.0; Max. 1712.0; Mean 798.2534324942741; Min. 104.0; StDev 449.25773211184844;

Variable Format: numeric

Notes: UNF:6:DPG84vfcjMMVpUiafHwZ/A==

parties 1-25 within each country

f6295940 Location:

Summary Statistics: Min. 1.0; Max. 23.0; Valid 1748.0; StDev 5.117834902389853; Mean 7.712814645308913

Variable Format: numeric

Notes: UNF:6:gsmYvtKCruS+YwG1pPWfqw==

country code using alphabetical order

f6295940 Location:

Summary Statistics: Mean 7.79347826086961; Min. 1.0; Valid 1748.0; StDev 4.502015426824099; Max. 17.0

Variable Format: numeric

Notes: UNF:6:h64mXNBv+Y/cNaFwhokiFA==

cabinet listed by name of PM

f6295940 Location:

Variable Format: character

Notes: UNF:6:bYd3HuXel9OHfclZsUZt0Q==

cabinet composition, party names

f6295940 Location:

Variable Format: character

Notes: UNF:6:gxmHDMxAkEu+6fhrJy+wIg==

number of seats won by each party

f6295940 Location:

Summary Statistics: Mean 43.67791762013731; Min. 1.0; Max. 319.0; Valid 1748.0; StDev 55.68369697263669;

Variable Format: numeric

Notes: UNF:6:6sDeT53EkaY/pkmWZjyNBQ==

policy score, -100 (most left) to +100 (most right)

f6295940 Location:

Summary Statistics: StDev 23.70902848536058; Mean -2.8691533616993463; Max. 82.19999694824219; Valid 1748.0; Min. -74.30000305175781

Variable Format: numeric

Notes: UNF:6:rZEB9ZfH5ZjFPADBoNfVoQ==

country

f6295940 Location:

Variable Format: character

Notes: UNF:6:icdjNCQO+WcQveGcdP9zVQ==

party_seatshare

f6295940 Location:

Summary Statistics: Valid 1748.0; Max. 50.0; StDev 13.927793067287908; Min. 0.2857142984867096; Mean 16.508203637323756;

Variable Format: numeric

Notes: UNF:6:QMfIbKvLbj/dBHLrdE7mww==

PMparty

f6295940 Location:

Summary Statistics: Max. 1.0; Mean 0.16876430205949644; Valid 1748.0; StDev 0.3746507863732363; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:Jj2PlfYMJ7E0ZWhBeqkWGw==

previousPM

f6295940 Location:

Summary Statistics: Min. 0.0; StDev 0.36420889954640545; Mean 0.15732265446224253; Max. 1.0; Valid 1748.0;

Variable Format: numeric

Notes: UNF:6:KzXwq1YLL32H+c61NHFDfw==

govtparty

f6295940 Location:

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.491690943015364; Mean 0.4084668192219681; Valid 1748.0

Variable Format: numeric

Notes: UNF:6:HiyXe9TWo9tV2/8M0HeMxA==

prevgovtparty

f6295940 Location:

Summary Statistics: Mean 0.3632723112128149; Min. 0.0; StDev 0.4810799732755611; Valid 1748.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:SATM+FEW/8MLHE1J6A8VuQ==

Other Study-Related Materials

Label:

cabinet_expansion.do

Notes:

application/x-stata-syntax

Other Study-Related Materials

Label:

mixlpred2.ado

Notes:

application/x-stata-ado

Other Study-Related Materials

Label:

model_estimation.do

Notes:

application/x-stata-syntax

Other Study-Related Materials

Label:

README.txt

Notes:

text/plain