This is the replication repository for Human Capital Disclosure and Labor Market Outcomes: Evidence from Regulation S-K, by Choi, Li, and Macciocchi.

The folder CLM_code/data_cleaning_code contains all code used to merge and link the raw data. Processing steps for each dataset are saved in separate subfolders.

Order of data-processing code:
	RavenPack data/ 
	LinkUp data/ 
	Revelio Labs Individual data/
	ChatGPT analysis/
	Glassdoor data/
	ESG score/
	Fund ownership/
	Conference call data/

The file CLM_code/CLM_code – Preset.do is the final script that combines all datasets and generates the final datasets used in the paper.
The file CLM_code/CLM_code – Analysis.do is used to generate all tables and figures. Code for each figure and table is annotated in the corresponding section in the .do file.

The folder CLM_log contains all code log files. For code written in Jupyter Notebook format, log files are saved together with the notebook files in CLM_code/data_cleaning_code.

The folder CLM_identifiers contains identifiers for public and private firms.