Table 3

Flight delay and audit quality

Variables(1)(2)(3)(4)
RestateRestateLn(Audit fee)Ln(Audit fee)
LogitLogitOLSOLS
Total delay−1.124***−1.182***1.504***0.195***
[−3.81][−3.53][9.37][3.41]
Big4 0.106 0.378***
 [1.25] [18.52]
ROA −0.371 −1.009***
 [−1.03] [−12.76]
Loss −0.196** −0.011
 [−2.17] [−0.59]
Ln(Size) 0.104*** 0.485***
 [5.27] [89.57]
Leverage 0.228** 0.034
 [2.06] [1.20]
Book-to-market 0.050*** −0.009**
 [2.93] [−2.56]
Receivable 0.143 0.744***
 [0.57] [10.60]
Inventory −0.229 0.374***
 [−0.66] [4.42]
Busy −0.425*** 0.051***
 [−6.19] [2.73]
Auditor change 0.027 −0.289***
 [0.35] [−15.35]
Debt −0.005 0.037***
 [−0.40] [13.87]
Unqualified opinion 0.008 −0.102***
 [0.15] [−9.03]
Major exchange −0.237*** 0.025
 [−2.79] [1.17]
Restatement 3.256*** 0.055***
 [48.51] [3.80]
Internal control weakness 1.110*** 0.153***
 [15.38] [8.42]
Auditor tenure −0.008 0.000
 [−0.91] [0.10]
The net tone in 10K −15.884** −15.853***
 [−2.27] [−9.08]
Constant−1.722***−2.790***13.478***10.434***
[−4.77][−6.59][256.11][238.10]
Year FEYESYESYESYES
Industry FEYESYESYESYES
Observations25,93325,93325,93325,933
Pseudo/Adjusted R20.0450.2510.2720.853

Note(s): This table shows multiple regression results for the relationship between flight delay and audit quality and effort. We measure the audit quality as the restatement which equals one if the firm’s 10-K is subsequently restated, and zero otherwise. In terms of audit effort, we use the total audit fees. For columns (1) and (3), we only add fixed effects to determine the base relationship between flight delay and each dependent variable. We add control variables, which are described in the  Appendix, in columns (2) and (4). Standard errors are clustered by firm and t-statistics are shown in parentheses. Significance level: ***p < 0.01, **p < 0.05, p < 0.1

Source(s): Table by authors

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