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Identifying Accounting Quality

Authors: Valeri V. Nikolaev;

Identifying Accounting Quality

Abstract

I develop an econometric strategy that allows identification of accounting quality. The strategy relies on a new way of characterizing the dynamics of accounting accruals. The characterization is intuitive and does not hinge on strong assumptions about the earnings and accrual processes, or about managerial preferences. The identifying assumptions derive from two accounting properties, namely, that both earnings and cash flows reflect the same underlying performance and that accruals and accounting errors must reverse over time. My approach discriminates between the accounting error and the part of accruals that captures the underlying economic performance. The proposed framework also offers a new way of testing for the presence of earnings management. Implementation issues and empirical evidence are discussed in a companion paper (Nikolaev 2014).

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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!
13
Average
Average
Average
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