Comparative Political Economy of Advanced Democracies (CPEAD) - Summative assessment

This repository collects my work for the summative assessment of the "Comparative Political Economy of Advanced Democracies" module, as taught by Professor David Rueda during the academic year 2023/2024. The paper is titled as follows: "Is corporatism clean or dirty? Examining the effects of corporatism on climate policy".

Repository Structure

• 01 Raw Data - Contains all the raw data files used in the analyses.
• 02 Cleaning Data Code - Scripts used to clean the raw data.
• 03 Cleaned Data - The cleaned data that is ready for analysis.
• 04 Analysis Code - Scripts for performing the analyses in the paper.
• 05 Research Proposal - The initial research proposal and (most) the PDF files of the articles referenced in the paper.
• 06 Figures and Tables - Generated figures and tables from the analysis.
• 07 Submission File - Final submission document for the assessment.
• README.md - This file, providing an overview of the project and repository.

Installation

No specific installation is required to run the scripts, except for the necessary R packages. Please ensure you have R installed on your system, and install any required packages using install.packages("package-name").

Usage

To use this repository, clone it locally and run the scripts in the numbered order. Ensure all dependencies are installed.

Session Information

For full transparency and to aid in replicating our analysis, the following session information is provided:

# Run sessionInfo()
R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22631)

Matrix products: default


locale:
[1] LC_COLLATE=English_United Kingdom.utf8  LC_CTYPE=English_United Kingdom.utf8   
[3] LC_MONETARY=English_United Kingdom.utf8 LC_NUMERIC=C                           
[5] LC_TIME=English_United Kingdom.utf8    

time zone: Europe/London
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] compiler_4.3.1    here_1.0.1        fastmap_1.2.0     rsconnect_1.2.2   cli_3.6.2        
 [6] rprojroot_2.0.4   htmltools_0.5.8.1 tools_4.3.1       rstudioapi_0.16.0 rmarkdown_2.26   
[11] knitr_1.46        xfun_0.44         digest_0.6.35     lifecycle_1.0.4   rlang_1.1.3      
[16] evaluate_0.23 

Contact

For any additional information or enquiries, please email me.