https://github.com/briatte/epsa2018-paper
Replication material for a paper on party collusion, coauthored with Elisa Volpi and Felix von Nostitz.
https://github.com/briatte/epsa2018-paper
conference-paper political-science replication-materials
Last synced: about 1 year ago
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Replication material for a paper on party collusion, coauthored with Elisa Volpi and Felix von Nostitz.
- Host: GitHub
- URL: https://github.com/briatte/epsa2018-paper
- Owner: briatte
- Created: 2018-06-22T19:00:06.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2021-06-21T16:28:17.000Z (about 5 years ago)
- Last Synced: 2025-02-07T16:34:29.149Z (over 1 year ago)
- Topics: conference-paper, political-science, replication-materials
- Language: R
- Homepage: http://f.briatte.org/research
- Size: 21.4 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Replication material for "Searching for the Cartel Party: Inter-Party Collusion and Legislative Activity" as presented at [EPSA 2018][epsa2018].
[epsa2018]: http://www.epsanet.org/conference-2018/
The code turns [legislative cosponsorship data][parlnet] into a panel dataset of political parties nested into country-specific parliamentary chambers. Some parties are observed at several points throughout the period under examination. Some aspects of the panel data related to party-specific cosponsorship behaviour are then modelled via (one-part) [fractional response regression models][frm].
[parlnet]: https://github.com/briatte/parlnet
[frm]: https://home.iscte-iul.pt/~jjsro/FRM.htm
# Read
The working paper and conference slides are available from the authors on email request.
# Data
Details on the data can be found in [DATA.md](DATA.md).
# Code
Initially written in [R][r] 3.3.3 in [`strict`][strict] mode. Currently being updated for R 4.1.0.
[r]: https://cran.r-project.org/
[strict]: https://github.com/hadley/strict
# Make
```r
source("1_extract_cosponsorships.r") # get the data
source("2_create_unbalanced_panel.r") # panelize it
source("3_fractional_regressions.r") # estimate FRMs
source("4_export_and_plot_models.r") # plot results
# session info
sink("session_info.log")
devtools::session_info()
sink()
```
Package dependencies are listed at the top of each script.
> Last updated: June 2021.