Table 9.

Multivariate analysis of audit hours and auditor industry leadership Italy sample

Dependent variable is the natural logarithm of audit hours (N = 1,123)
Model (1)Model (2)Model (3)
 Estimatep-valueEstimatep-valueEstimatep-value
Panel A
Intercept7.249<0.0017.028<0.0017.252<0.001
SIZE0.280<0.0010.284<0.0010.290<0.001
CATA0.7530.0020.7660.0030.7710.002
QUICK−0.235<0.001−0.236<0.001−0.231<0.001
LEV−0.2810.333−0.2740.349−0.2540.385
ROA−0.0370.925−0.0170.9660.0000.999
LOSS0.1610.0120.1570.0150.1520.019
σ (CFO)−0.0120.940−0.0230.884−0.0170.915
SALES GROWTH−0.004<0.001−0.004<0.001−0.004<0.001
TENURE0.0000.9690.0010.9270.0040.743
ACCR_10.0170.3360.0150.4000.0150.398
BIGN0.0590.5210.0820.3790.1090.241
UNCLEAN OPINION0.0650.1740.0760.1210.0830.090
LABOR COST−0.0270.364−0.0230.460−0.0300.322
National Leader0.1830.005    
Area Leader  0.1010.094  
City Leader    0.0140.832
Industry- and year-fixed effectsIncluded Included Included 
Adj. R20.4320.4250.436
Panel B: test of difference in coefficients  Difference in
coefficients
F-test
(p-value)
  
National Leader = Area Leader  0.0823.97
(0.046)
  

Notes:

Coefficient p-values in Panel A are two-tailed and robust standard errors are clustered by firm, following Peterson (2009). F-test p-values in Panel B are one-tailed. Refer to  Appendix for variable definitions

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