Data · dataset · 2026
AI_CDG_Earnings_Management_Replication_Package
Listed in Teesside University Research Data Repository
Description
This repository contains the replication package for the manuscript: Substantive AI Disclosure, Corporate Digital Governance, and Earnings Management: Evidence from U.S. Listed Firms The package provides the final firm-year regression dataset, intermediate construction files, validation files, and output tables used to support the empirical analysis. The study examines U.S. publicly listed firms over 2015-2023 and links SEC Form 10-K and DEF 14A textual evidence with financial data derived from SEC XBRL company facts.
The package includes: - Final regression dataset - SEC filing match panel - AI contextual disclosure measures - Corporate digital governance coding - Financial variables - Modified Jones accrual-based earnings management measures - Roychowdhury real earnings management measures - Manual validation files for AI and CDG classification - Regression and correlation output tables - README, codebook, data availability statement, and software requirements Raw SEC filings are not redistributed due to file-size constraints.
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Filing accession numbers, filing dates, filing URLs, and source identifiers are provided to allow retrieval from SEC EDGAR.
Links
Where it is published
- DOI doi.org/10.17632/k8ppjwy8sj.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/k8ppjwy8sj.1 | 18 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:350701 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Corporate Governance'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |