Table 6

Auditor resignations

Panel A
ObservationsMeanMedianStd. DevMinMax
Auditor resignation9740.080.000.270.001
Panel B
AuditorAuditorAuditorAuditorAuditorAuditor
ResignationResignationResignationResignationResignationResignation
Big N0.09***    0.13***
(3.65)    (4.37)
Industry specialist −0.03   −0.05**
 (−1.63)   (−2.32)
Auditor diversity  −0.06  −0.15*
  (−1.04)  (−1.96)
Auditor distance   −0.00 −0.00
   (−0.86) (−1.00)
New auditor    0.010.02
    (0.30)(0.66)
Audited after March 310.10***0.09***0.09***0.09***0.09***0.10***
(4.24)(3.72)(3.61)(3.84)(3.84)(4.29)
Control variablesYESYESYESYESYESYES
Industry FEYESYESYESYESYESYES
R-squared0.1020.0900.0890.0880.0880.115
Observations974974974974974974

Note(s): Table 6 reports the descriptive statistics for auditor resignations and the association between auditor resignations and auditor resilience characteristics. Panel A reports descriptive statistics for the auditor resignations. Panel B reports the result for a linear probability model with an indicator variable taking the value one (0 otherwise) if the company’s auditor resigned after the 2019 fiscal year audit as the dependent variable. The independent variables are Audited After March 31 and the independent variables from Eq. (1). T-statistics in parentheses are based on standard errors clustered at the industry level (2-digit sic). Variables are defined in  Appendix 2. ***, ** and * indicate statistical significance at the 1%, 5% and 10% levels, respectively

Source(s): Table created by author

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