Matt Golder

Matt Golder's Homepage, Department of Political Science, Florida State University

Replication data for: Gubernatorial and Presidential Coattails in Brazil
Cataloging Information
Documentation, Data and Analysis
User Comments
 
Citation Information
How to Cite
Thomas Brambor; William Roberts Clark; Matt Golder, 2007, "Replication data for: Gubernatorial and Presidential Coattails in Brazil", hdl:1902.1/10555 UNF:3:9zLEqklsMKQnsksgQr60Rg== Matt Golder [Distributor]
Study Global Idhdl:1902.1/10555
AuthorsThomas Brambor (New York University); William Roberts Clark (New York University); Matt Golder (Florida State University)
Production Date2004
DistributorMatt Golder Logo
Distributor Contactmgolder@fsu.edu
Distribution Date2007
Deposit DateAugust 28, 2007
Replication ForThomas Brambor, William Roberts Clark, Matt Golder. 2004. "Gubernatorial and Presidential Coattails in Brazil." Unpublished replication, New York University. article available here
Provenance
Abstract and Scope
Abstract

In ‘Understanding Interaction Models: Improving Empirical Analyses’, we report the results of several replications that we conducted of analyses examining electoral institutions and party systems. One of these replications was of David Samuels’ article ‘The Gubernatorial Coattails Effect: Federalism and Congressional Elections in Brazil’ which appeared in the Journal of Politics in 2000.

In an article in the Journal of Politics, Samuels (2000) examines the relative impact of presidential and gubernatorial coattails on the composition of the Brazilian party system. Theory would suggest that temporally-proximate presidential and gubernatorial elections should exert a reductive effect on the number of electoral lists in legislative elections. However, this reductive effect should decline (and may become positive) as the number of presidential and gubernatorial candidates increases. Samuels argues that the unusual importance of the governor for office-seeking candidates in Brazilian legislative elections means that we should observe a gubernatorial coattails effect but not a presidential coattails effect in Brazil. This would help to explain why the party system at the national level is highly fragmented (6.3 effective parties), while the party system at the state level is more concentrated (only 3.3 effective parties). The results from three models seem to support his conjecture. However, Samuels draws conclusions from an interaction model that omits constitutive terms. Once these omitted terms are included, none of the coefficients on the variables of interest are significant at the 90% level. Plots of the marginal effect of gubernatorial elections on the number of electoral lists across the observed range of the modifying variable from all three models indicate that gubernatorial elections never exert a coattails effect. While two of the three models indicate that there is no presidential coattails effect either, one suggests that temporally-proximate presidential elections will increase the number of electoral lists if the number of presidential candidates is sufficiently high. Thus, contrary to the conclusions reached by Samuels, the evidence from a fully-specified model indicates that if there is a coattails effect in Brazilian elections then it is a presidential one and not a gubernatorial one. This indicates that gubernatorial coattails cannot explain why the state party system in Brazil is so much less fragmented than the national party system.

Related PublicationsThis is a reanalysis of David Samuels. 2000. "The Gubernatorial Coattails Effect: Federalism and Congressional Elections in Brazil." Journal of Politics 62: 240-253. article available here
Related StudiesThomas Brambor, William Clark, Matt Golder. 2006. "Understanding Interaction Models: Improving Empirical Analyses." Political Analysis 14: 63-82. doi:10.1093/pan/mpi014. dataverse available here
Terms of Use
Network Terms of UseIQSS Dataverse Network Terms and Conditions

By downloading these Materials, I agree to the following:

  1. I will not use the Materials to
    1. obtain information that could directly or indirectly identify subjects.
    2. produce links among the Distributor's datasets or among the Distributor's data and other datasets that could identify individuals or organizations.
    3. obtain information about, or further contact with, subjects known to me except where the use and/or release of such identifying information has no potential for constituting an unwarranted invasion of privacy and/or breach of confidentiality.
  2. I agree not to download any Materials where prohibited by applicable law.
  3. I agree not to use the Materials in any way prohibited by applicable law.
  4. I agree that any books, articles, conference papers, theses, dissertations, reports, or other publications that I create which employ data reference the bibliographic citation accompanying this data. These citations include the data authors, data identifier, and other information accord with the Recommended Standard (http://thedata.org/citation/standard) for social science data.
  5. THE DISTRIBUTOR MAKES NO WARRANTIES, EXPRESS OR IMPLIED, BY OPERATION OF LAW OR OTHERWISE, REGARDING OR RELATING TO THE DATASET

BY CLICKING THE "I AGREE" CHECKBOX BELOW, I CONFIRM THAT I HAVE READ AND UNDERSTOOD EACH AND EVERY TERM SET FORTH IN THE TERMS AND CONDITIONS FOR THE USE OF DATA FOUND ABOVE, AND I AGREE TO BE BOUND BY ALL OF SUCH TERMS AND CONDITIONS.

IF I DO NOT UNDERSTAND OR AGREE TO ALL OF THE TERMS AND CONDITIONS, I MUST NOT DOWNLOAD THE MATERIALS.