Modelling the accruals process and assessing unexpected accruals*
Modelling the accruals process and assessing unexpected accruals*
Modelling the accruals process and assessing unexpected accruals*
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These restrictions respectively imply that (a) <strong>the</strong>re is no change in accrual policy <strong>and</strong> profit<br />
margin of benchmark firms between period t–1 <strong>and</strong> t, (b) <strong>the</strong> deferred component of normal<br />
working capital <strong>accruals</strong> is zero (i.e., deferred expenses <strong>and</strong> revenue are zero), <strong>and</strong> <strong>the</strong>re is no<br />
distortion in <strong>the</strong> working capital <strong>accruals</strong> of <strong>the</strong> benchmark firms, <strong>and</strong> (c) <strong>the</strong>re is no distortion in<br />
<strong>the</strong> benchmark firms‟ depreciation expenses. Under <strong>the</strong>se restrictions, <strong>the</strong> Jones model<br />
<strong>unexpected</strong> <strong>accruals</strong> for firm j will be totally attributed to firm j‟s heterogeneity in parameters.<br />
All <strong>the</strong> implications discussed in <strong>the</strong> encompassing model will apply.<br />
However, if any of <strong>the</strong> 2, t 1,<br />
t,<br />
3, t 0<br />
, <strong>and</strong> 5, t 0<br />
31<br />
restrictions do not hold, <strong>the</strong> Jones model<br />
will be mis-specified <strong>and</strong> suffer from correlated omitted variable bias. Specifically, one period<br />
ahead revenue growth, one period ahead revenue, <strong>and</strong> current non-current operating assets are<br />
<strong>the</strong> relevant variables omitted from <strong>the</strong> model, <strong>and</strong> <strong>the</strong>y will be captured by <strong>the</strong> disturbance term<br />
t, j.<br />
Since revenue is likely to be serially correlated with past revenue, <strong>the</strong> estimate of 1,t is<br />
likely to be biased. Similarly, 4,t is likely to be biased as non-current operating assets are likely<br />
to be serially correlated. The direction of this omitted variable bias will be determined by <strong>the</strong><br />
(positive or negative) signs of 2,t , 3,t , <strong>and</strong> 5,t <strong>and</strong> <strong>the</strong> correlation between <strong>the</strong> omitted<br />
variables <strong>and</strong> <strong>the</strong> included variables (see Greene 2000 for details).<br />
If <strong>the</strong> omitted variables do not correlate with <strong>the</strong> included variables, <strong>the</strong> parameters 1,t <strong>and</strong> 4,t<br />
will not be biased. However, <strong>the</strong>y will still contaminate <strong>the</strong> Jones model <strong>unexpected</strong> <strong>accruals</strong>,