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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.

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Teesside University Research Data Repositoryoai:data.mendeley.com/k8ppjwy8sj.118 h agoJSON v1
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