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Understanding earnings quality - MIT Sloan School of Management

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Other studies attempt to validate discretionary accruals from accruals models using external<br />

indicators <strong>of</strong> financial reporting <strong>quality</strong> such as restatements, SEC enforcement actions, and SOX<br />

internal control deficiency reports. The type II error rate in these samples, however, is extremely<br />

high (most high discretionary accrual firms are not members <strong>of</strong> these samples). Therefore, positive<br />

correlations are supportive evidence but far from conclusive.<br />

Few papers, however, validate the accruals models by examining the “normal” component <strong>of</strong><br />

accruals. Our understanding <strong>of</strong> <strong>earnings</strong> <strong>quality</strong> would benefit from more direct evidence on how an<br />

imperfect measurement system, when applied without intentional bias, distorts the measurement <strong>of</strong> a<br />

firm’s fundamental <strong>earnings</strong> process. Examples <strong>of</strong> research along these lines include Landsman and<br />

Shakespeare (2005) who put securitizations back on the balance sheet; Lev and Sougiannis (1996)<br />

who capitalizes and expenses R&D; Ge (2007) who capitalizes operating leases; and Dutta and<br />

Reichelstein (2005) who provide theoretical work on optimal capitalization policies.<br />

(6) While it has long been recognized that accounting choices can be motivated by opportunism or<br />

efficient contracting, we still do not have sufficient evidence on this issue (see Christie and<br />

Zimmerman, 1994, Bowen et al., 2008). Again, the issue <strong>of</strong> multiple objectives arises, because a<br />

single accounting choice may appear opportunistic if hypothesized to be related to one objective,<br />

while the inference is invalid when allowing firms to have multiple objectives but constraining them<br />

to choose only one <strong>earnings</strong> number. This issue was raised in studies that use properties <strong>of</strong> <strong>earnings</strong>,<br />

accruals, and ERCs as proxies for EQ, yet the research is inconclusive.<br />

(7) We are not aware <strong>of</strong> studies about a firm’s <strong>earnings</strong>-related accounting choices when the<br />

anticipated impact <strong>of</strong> the choice on <strong>earnings</strong> properties is expected to be limited because the property<br />

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