Table 5

Regression analysis of accounting quality

Discretionary BonusFormula Bonus
(1)(2)
Intercept−2.329***0.356
(<0.001)(0.224)
Big4it−0.214**0.475***
(0.023)(<0.001)
Earning Predict CFit−0.407**0.441***
(0.019)(0.007)
Abnormal Accrualsit2.493***−0.93*
(<0.001)(0.071)
ROA Volatilityit−2.2264.507***
(0.153)(0.003)
Return Volatilityit3.066***−1.535**
(<0.001)(0.02)
CEO Tenureit0.037***−0.043***
(<0.001)(<0.001)
CEO Dualityit−0.147**0.121**
(0.018)(0.040)
R&D to Salesit0.095***−0.019
(0.004)(0.260)
B/M Ratioit0.0650.008
(0.105)(0.773)
Lossit−0.146−0.738***
(0.158)(<0.001)
Sizeit−0.0260.177***
(0.257)(<0.001)
Leverageit−0.623***0.806***
(<0.001)(<0.001)
Annual Returnit0.165***0.300***
(0.001)(<0.001)
ROAit1.108***0.492
(0.002)(0.103)
Year indicatorsYesYes
Industry indicatorsYesYes
Number of observations9,5109,510
Pseudo R20.0800.123

Note(s): Presented in this table are the results of logistic regression of Discretionary (Formula) Bonus variables on the test variables for accounting quality. The regressions control for year and 2-digit SIC code industry effects. All variables are defined in Appendix. *, **, and *** indicate that the estimated coefficients are statistically significant at 0.10, 0.05, and 0.01, respectively. P-values in brackets are from Wald tests

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