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Understanding earnings quality - MIT Sloan School of Management

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fact improve predictability relative to cash <strong>earnings</strong> assuming, like the concepts statement, that the<br />

fundamental <strong>earnings</strong> process is smoother than the cash receipt/payment process.<br />

Most studies, however, explore the relation between incentives for smoothing and specific<br />

accounting choices (or real activity choices) that generate smoother <strong>earnings</strong>. The focus is on the<br />

mechanisms used to smooth <strong>earnings</strong>, but the analyses are joint tests <strong>of</strong> the incentives and <strong>of</strong> the<br />

mechanism choice (e.g., White, 1970; Barnea, Ronen, and Sadan, 1976; Moses, 1987; Chaney, Jeter,<br />

and Lewis, 1998; Hand, 1989). Studies <strong>of</strong> accrual choices frequently investigate specific accounts,<br />

or even employ industry-specific small sample case studies (e.g., Dascher and Malcolm, 1970;<br />

McNichols and Wilson, 1988; Kanagaretnam, Lobo, Yang, 2004). Smoothing is treated as a period-<br />

specific accounting choice, thus these papers typically measure smoothing as the negative<br />

correlation between a proxy for unmanaged <strong>earnings</strong> (e.g., non-discretionary accruals), and the<br />

“discretionary accrual” that is being used to smooth <strong>earnings</strong>.<br />

Consequences <strong>of</strong> smoothness:<br />

The majority <strong>of</strong> the consequences studies examine the implications <strong>of</strong> smoothness in a cross-<br />

country context. Section 4.2 discusses these studies. The advantage <strong>of</strong> the cross-country analyses is<br />

the researcher’s ability to create a smoothness proxy that represents artificial smoothing or <strong>earnings</strong><br />

management. Smoothness has both a fundamental component, which is predicted to increase<br />

<strong>quality</strong>, and an artificial component, which is predicted to decrease <strong>quality</strong>. The predicted<br />

consequences <strong>of</strong> the two components are different, thus the research necessitates distinguishing non-<br />

discretionary (normal) smoothness from discretionary (abnormal) smoothness. In the cross-country<br />

studies, the notion is that the measurement error in the model <strong>of</strong> the fundamental component <strong>of</strong><br />

46

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