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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Business ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Business Finance &amp Accounting
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Accruals earnings management proxies: Prudent business decisions or earnings manipulation?

Authors: Theodore E. Christensen; Adrienna Huffman; Melissa F. Lewis‐Western; Rachel Scott;

Accruals earnings management proxies: Prudent business decisions or earnings manipulation?

Abstract

AbstractOver the last 5 years, the top accounting journals have published 388 articles that incorporate an empirical proxy for accruals‐based earnings management. Researchers use these proxies to measure diverse managerial activities that represent fundamentally different constructs (from beneficial earnings management at one end of the spectrum to earnings manipulation at the other). We present a simple framework that defines the specific construct of “earnings manipulation” and places it within the context of the broader concept of “earnings management.” At the construct level, one distinguishing characteristic of earnings manipulation is that accruals reversals cause future earnings to be lower than earnings would have been absent the manipulation. We explore the extent to which increases in 11 common earnings management proxies—that account for 88% of the research published in the last 5 years—result in future earnings that are lower than the firm's average earnings to determine which measures are more likely to reflect earnings manipulation. Our results indicate substantial variation across earnings management proxies in this characteristic with some (including the most commonly used proxies) consistently exhibiting a positive association with future performance, suggesting that they generally do not reflect earnings manipulation. Supplemental analyses that consider earnings persistence and performance of the proxies across firm life‐cycle stages yield similar inferences. Finally, we propose two simple empirical solutions that researchers can implement to capture the construct of earnings manipulation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 1%
Top 10%
Top 1%
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