README.md

Clean Data Directory for Replication Archive

This directory contains only the data files that are actually used by the replication code.

Directory Structure

data_clean/in/

Input data files used by the analysis:

• sipp_raw/: Raw SIPP data files (12 zip files)

  • Contains Survey of Income and Program Participation data from 2018-2023 only
  • Files follow pattern: pu{year}_dta.zip and rw{year}_dta.zip

• sipp_unzipped/: Pre-unzipped SIPP data files (6 .dta files + 1 metadata file)

  • Contains Stata format files ready for processing (2018-2023 only)

• SIPP_data_dictionaries/: Documentation for SIPP data

  • PDF files with metadata and variable definitions for each year

• eora_io_data_{year}/: EORA Input-Output data by year (2010-2021)

  • Each year folder contains:
    • Eora26_{year}_bp_T.txt: Trade matrix
    • Eora26_{year}_bp_Q.txt: Satellite accounts
    • Eora26_{year}_bp_FD.txt: Final demand
    • Eora26_{year}_bp_VA.txt: Value added
    • labels_*.txt: Label files for the matrices

• Eora26Structure.xlsx: EORA data structure documentation

• oecd_io_data/: OECD Input-Output data

  • .rdata files containing pre-processed OECD I-O tables

• getOECD_IO.R: Script for fetching OECD data (included for reference)

data_clean/out/

Output data files created by the analysis:

• sipp_job_panel.csv: Processed SIPP job panel data (created by processSIPP.R)

Notes

1. The EORA data for years 2010-2021 is included as these years are potentially used in the analysis, even though the main configuration uses 2015-2017.

2. SIPP data has been limited to years 2018-2023 as these are the only years used in the paper's analysis.