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gender differential paper IJCRB

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ijcrb.webs.com<br />

JUNE 2011<br />

INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS VOL 3, NO 2<br />

payable−taxes payable−other current liabilities. To obtain cash flows per share we divide by the<br />

number of common shares used to calculate primary earnings per share.<br />

12. We also partitioned based on the cross-sectional median value of prior-year earnings changes<br />

and SAR, however, our results are qualitatively the same.<br />

13. This is around the time EVA became popular (Finegan, 1989).<br />

14. Due to the potential bias in pooled t-statistics caused by cross-sectional correlations in the<br />

error terms, we present ‘intertemporal’t statistics, computed as the mean of the 16 annual<br />

coefficient estimates divided by the standard error of the 16 estimates. In addition, variance<br />

inflation factors indicate the presence of multicolinearity in the pooled estimation, which also<br />

biases the pooled standard errors. Intertemporal t statistics are not subject to this bias.<br />

15. The first is based on using equation (1) and therefore contains information inEVAuseful in<br />

predicting earnings changes. To form these predictions we use the average coefficients obtained<br />

in equation (1) for all prior years. Our second prediction allows us to determine the incremental<br />

value of including EVAC in equation (1). To form these predictions were-estimate equation (1)<br />

without α5 and α6 (the EVA variables) each year. We then use the average of all previous-years’<br />

coefficient estimates to form earnings predictions based on information excluding EVA.<br />

Therefore, our results now start at year 1982.<br />

16. Statistical tests of the MSE and MAE differences across models are done using the mean of<br />

15 annual differences divided by the standard error of the mean.<br />

COPY RIGHT © 2011 Institute of Interdisciplinary Business Research 1918

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