Published September 29, 2025 | Version v1

Investing in Influence: Investors, portfolio firms, and political giving

  • 1. ROR icon Hong Kong University of Science and Technology
  • 2. ROR icon University of Chicago
  • 3. ROR icon University of California, Berkeley
  • 4. ROR icon Boston University

Description

This package contains the replication file, which includes data sets obtained from public databases, for the paper titled "Investing in Influence: Investors, Portfolio Firms, and Political Giving." Additionally, we provide information on other purchasable databases necessary for replicating the results of this study.

The subfolder "Part1_DataCleaning" contains the codes and public data sets required to construct the data sets that are needed for the empirical analysis. The subsequent subfolder, "Part2_DataAnalysis," includes the codes used to generate the empirical results presented in the paper. A readme file is included to provide further details, along with comments within the codes and various folders for enhanced clarity. We also include the list of data sets that need to be purchased in order to be able to run the codes in the subfolder "Part1_DataCleaning". 

Most of the codes were executed using SAS, Stata, WRDS SAS Studio, and Python. Due to the computational complexity involved and the large size of data sets utilised in the study, the majority of the codes were executed on servers equipped with at least 512 GB of RAM and at least 1.5 terabytes of free space.

 

Files

Part1_DataCleaning.zip

Files (23.7 GB)

Name Size
md5:9ce426d10062ccf79c2b635b4a5e4ee6
23.7 GB Preview Download
md5:a591a9089383e292813504632e2c5598
16.7 kB Preview Download
md5:c3ffe1d21c1721dafa698c69ec0384b7
299.7 kB Preview Download

Additional details

Software

Programming language
Python , SAS , R , Stata