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Journal of Accounting and Economics Vol. 76 No. 1 2023

RETRACTED: Lost in standardization: Effects of financial statement database discrepancies on inference

Kai Du1; Steven J. Huddart1; Xin Daniel Jiang2

1 Pennsylvania State University · 2 University of Waterloo

Abstract

SEC-mandated, machine-readable structured filings are an alternative source to Compustat for companies' accounting data. Discrepancies between as-filed and Compustat data, potentially a result of Compustat's standardizations, are more pronounced for firms with complex financial reporting. We show that these data discrepancies affect inferences in four research settings: (i) properties of accrual accounting, including accruals-cash flow relationships and abnormal accruals; (ii) real earnings management; (iii) the existence and magnitude of six of 21 accounting-based anomalies examined, including the accruals anomaly; and (iv) disclosure quality assessments based on the hierarchical structure of financial statement items. FactSet data also exhibit significant and often larger discrepancies from as-filed data. Our findings demonstrate the importance of these data discrepancies for the interpretation of empirical tests.

DOI
10.1016/j.jacceco.2022.101573
Volume
76
Issue
1
Pages
101573
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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