Replication Data for Chapter 3 - Robots & AI exposure and wage inequality: A within-occupation approach.

DOI

This dataset contains the following information:

  • do_files: the codes to reproduce the analysis of chapter 3 in STATA can be found.
  • _webb_data: it contains the data and codes to reproduce the AI and robot score used in the analysis
  • _onet_to_isco: contains the codes to convert SOC occupations to ISCO. This has been downloaded from: https://ibs.org.pl/wp-content/uploads/2022/11/onetsoc_to_isco_cws_ibs_en1-1.pdf
  • _felten et al contains the data and do files to compute the AI exposure score from Felten et al (2019)
  • a ReadMe detailing the analysis

The data used in this chapter comes from the European Union Structure of Earning Survey (EU-SES). This data cannot not be made available due to Eurostat regulations.

Identifier
DOI https://doi.org/10.34894/UWLX0T
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/UWLX0T
Provenance
Creator Jaccoud, Florencia ORCID logo
Publisher DataverseNL
Contributor Notten, Ad
Publication Year 2024
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Notten, Ad (Maastricht University)
Representation
Resource Type Dataset
Format application/x-stata-syntax; application/pdf; application/x-stata-14; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/x-stata; type/x-r-syntax; text/plain
Size 6473; 6436; 6587; 6755; 6504; 1005; 2337; 1402; 926; 915; 2915; 424; 1452; 2045; 3727; 5054; 33641; 15671; 602719; 106295; 45621; 2315; 3335; 6301; 11304; 1193; 134535; 1985; 1136; 1001; 1072; 1064; 9866; 1289; 1329; 23854; 19494; 41129; 22714; 5122; 2551; 4715; 6779; 13335; 7394; 225; 7396
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences