First, to ensure the validity of the measure of accruals quality (AQ_DD), we
have classified the sample by AQ_DD quintiles. Next, for each quintile we have
regressed current cash flows on lagged cash flows and net income, controlling for firm effects. The results obtained (Table 3) show that the highest fit of the
regressions is for the firms with the lowest values of AQ_DD (higher accruals
quality), Q1, and that the fit decreases when the values of AQ_DD increase
(accruals quality decreases). In this way, the lower predictability of future cash
flows for higher values of AQ_DD supports the notion that the variable AQ_DD
is a good proxy for measuring accounting quality