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Effect of fossil fuel & environmental related campaign contributions on the voting behavior of US House members on methane related bills

You can find the actual thesis here

project file layout

├── README.md
├── src
│   ├── analysis
│   │   ├── plots
│   │   ├── model
│   ├── cleaning
│   │   ├── utils  
├── data
│   ├── cleaned
│   ├── original (raw data)
├── presentation
├── thesis/template-typst
│   ├── common
│   ├── figures
│   ├── thesis_typ

type of cleaned data

  • df.csv -> dataframe of all representatives, their IDs, votes, contributions and control variables (DW-nominate, seniority, party affiliations, gender, etc.)
  • roll_call.csv -> dataframe of all representatives who partook in at least one of the congressional sessions 113-117, incl. their IDs, full names, party affiliation, etc.
  • contribs_long.csv -> dataframe of the individual and PAC contributions which each representative received within six months of the vote, from only relevant (energy - fossil fuel and enviornmentally related source), pivoted by the vote

cleaned data used for the analysis :

  • roll_call.csv -> roll_call data of 6 methane bills (between 113 - 117th session)
  • representatives.csv -> cleaned representative data of all sessions (113 - 117th session)
  • contributions.csv -> contributions of oil, gas, mining, coal, environmental and alternative energy industries to representatives (113 - 117th session)
  • unique_id_reps.csv -> unique id of all house members
  • final_df.csv -> roll_call and contributions dfs merged on unique_id_reps' member_id.

data sources:

further details

The main branch only includes the data and analysis from the main results, i.e. those with the contributions within 6 months of the vote, not the contributions of the entire previous congressional election. The results from the aggregate contributions can be found on the emergency-backup branch.