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Cited by 279

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

The Impact of Information Processing Costs on Firm Disclosure Choice: Evidence from the XBRL Mandate

Open access
BLANKESPOOR, ELIZABETH·2019·Journal of Accounting Research

Abstract

This paper examines the effect of market participants’ information processing costs on firms’ disclosure choice. Using the recent eXtensible Business Reporting Language (XBRL) regulation, I find that firms increase their quantitative footnote disclosures upon implementation of XBRL detailed tagging requirements designed to reduce information users’ processing costs. These results hold in a difference‐in‐difference design using matched nonadopting firms as controls, as well as two additional identification strategies. Examination of the disclosure increase by footnote type suggests that both regulatory and nonregulatory market participants play a role in monitoring firm disclosures. Overall, these findings suggest that the processing costs of market participants can be significant enough to impact firms’ disclosure decisions.

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Crossref · 10.1111/1475-679x.12268

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Metadata

Authors
BLANKESPOOR, E.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2019-06-28
Volume
57
Issue
4
Pages
919-967
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W6003277
Cited by
279
References
90
FWCI
28.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Impact of Information Processing Costs on Firm Disclosure Choice: Evidence from the XBRL Mandate. https://app.cochat.ai/papers/10.1111/1475-679x.12268
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BLANKESPOOR, E. (2019). The Impact of Information Processing Costs on Firm Disclosure Choice: Evidence from the XBRL Mandate. Journal of Accounting Research. https://doi.org/10.1111/1475-679x.12268

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.