Table 6

Firm fixed effects and excess disclosure quality ratings

Panel A: Market reactions to the announcement of disclosure quality ratings
Dependent variableCAR
(1)
INFO_FE0.0002
[0.181]
ControlsYes
No. of obs21,250
Adj. R23.3%
Panel B: Association with market−based and accounting−based information quality measures
Dependent variableZERORETILLIQNCSKEWCONSERVPERSISTDD
(1)(2)(3)(4)(5)(6)
INFO_FE−0.0006*0.0015−0.0331***−0.98560.0214**−0.0004
 [−1.874][0.479][−3.417][−0.869][2.350][−0.423]
ControlsYesYesYesYesYesYes
No. of obs22,95422,95322,93910,7609,81710,068
Adj. R239.6%44.1%11.6%0.3%14.5%26.1%
Panel C: Predictability of future outcomes
Dependent variableF_INSTF_ANAF_FERRORSF_DISPERSIONF_ENFORCEF_ANNLETT
(1)(2)(3)(4)(5)(6)
INFO_FE0.0040**−0.1252−0.0019*−0.0005−0.0199***−0.0164***
[1.978][−0.972][−1.733][−1.405][−3.122][−3.261]
ControlsYesYesYesYesYesYes
No. of obs18,99118,99112,89110,69021,56021,560
Adj. R2/Pseudo R283.5%59.7%10.4%8.7%15.9%28.4%

Note(s): Table 6 replicates all the results using an alternative measure of excess disclosure quality ratings when public signals include firm fixed effects. The test variable INFO_FE is the residuals from estimating the model in column (1) of Table 2 with firm fixed effects. Panel A reports the relation between INFO_FE and market reactions to the announcement of disclosure quality ratings (CAR). Panel B reports the association between INFO_FE and market-based information quality measures (ZERORET, ILLIQ, and NCSKEW) and accounting-based information quality measures (CONSERV, PERSIST and DD). Panel C reports the relation between INFO_FE and future outcomes (F_INST, F_ANA, F_FERRORS, F_DISPERSION, F_ENFORCE and F_ANNLETT). The models in columns (5) and (6) of Panel C are Probit and the other models are OLS. Marginal effects at the mean are reported as coefficients for the Probit models. Detailed variable definitions are in  Appendix 2. t-statistics or z-statistics underneath the coefficients are based on standard errors clustered at the firm. ***, **, and * denote two-tailed statistical significance at the 1%, 5%, and 10% level, respectively

Source(s): Table created by authors

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