Table 4.

The association between firms’ inflation expectations and earnings management (accrual-based and real)

VariablesPOSDANEGDA
Panel A
ACCINFLEXP0.000793*** (2.683)−0.000202 (−0.571)
LEV0.00390** (2.168)−0.00933*** (−5.172)
SALESGR0.0180*** (16.17)0.00333*** (3.147)
SIZE−0.00189*** (−12.14)−0.00145*** (−9.183)
LOSS0.000183 (0.451)0.00407*** (8.911)
Constant0.0551*** (15.60)0.0513*** (14.69)
Observations36,30935,755
Number of firms2,1702,169
Degrees of freedom36,18635,632
Country FEYesYes
Quarter FEYesYes
Industry FEYesYes
R2 within0.11820.089
R2 between0.21320.2094
Panel B
VariablesABNCFOABNPROD
REALINFLEXP0.000824 (1.321)0.00137** (2.469)
LEV0.0274*** (4.711)−0.00990*** (−3.324)
ROA−0.481*** (−18.34)−0.153*** (−10.22)
SALESGR0.00770*** (5.898)0.00270** (2.214)
SIZE−0.00852*** (−9.812)0.00358*** (5.027)
LOSS0.000736 (0.675)0.00186** (2.537)
Constant0.0626*** (6.226)−0.0130 (−1.220)
Observations69,19663,553
Number of firms2,2082,021
Degrees of freedom69,07263,430
Country FEYesYes
Quarter FEYesYes
Industry FEYesYes
R2 within0.05700.0140
R2 between0.40840.0636
Note(s):

This table presents the regression results on the association between firms’ inflation expectations and earnings management (accrual-based and real). Z-statistics reported in parentheses are based on standard errors clustered by firm. The extreme values of all continuous variables are winsorized at the 1st and 99th percentiles. Definition and measurement of variables are presented in Table 1. *, ** and *** denote significance at the 10, 5 and 1% levels, respectively. All predictor variables were assessed for multicollinearity. Variance inflation factor (VIF) values are below 5, indicating no significant multicollinearity

Source(s): Authors’ own work

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