Sample selection and distribution
| Sample selection processa | Firm-yearObservations | |||
|---|---|---|---|---|
| Panel A: Sample selection | ||||
| Observations from 2007 to 2022 in Audit Analytics with audit fees data in US firms | 144,095 | |||
| Less: | ||||
| Observations missing data from Compustat | 76,685 | |||
| Observations missing data from Execucomp | 40,496 | |||
| Observations missing data from BoardEx | 7,119 | |||
| Financial and Utility Firms (SIC 6000–6999 and SIC 4900–4949) | 4,831 | |||
| Observations with insufficient data to calculate control variables | 4,731 | |||
| Final sample | 10,233 | |||
| Sample selection processa | Firm-yearObservations | |||
|---|---|---|---|---|
| Observations from 2007 to 2022 in Audit Analytics with audit fees data in | 144,095 | |||
| Less: | ||||
| Observations missing data from Compustat | 76,685 | |||
| Observations missing data from Execucomp | 40,496 | |||
| Observations missing data from BoardEx | 7,119 | |||
| Financial and Utility Firms ( | 4,831 | |||
| Observations with insufficient data to calculate control variables | 4,731 | |||
| Final sample | 10,233 | |||
| LNPEN (million) | LNNUM (no.) | |||
|---|---|---|---|---|
| Industry | N | % | Mean | Mean |
| Panel B: Sample distributions by industries | ||||
| Agriculture, forestry and fishing | 32 | 0.31 | 4.395 | 0.844 |
| Mining | 431 | 4.21 | 2.289 | 2.582 |
| Construction | 87 | 0.85 | 0.481 | 1.770 |
| Manufacturing | 5,829 | 56.96 | 2.240 | 1.051 |
| Transportation and utilities | 493 | 4.82 | 6.129 | 3.724 |
| Wholesale | 514 | 5.02 | 2.135 | 0.807 |
| Retail | 869 | 8.49 | 3.512 | 2.306 |
| Services | 1,970 | 19.25 | 1.936 | 0.414 |
| Others | 8 | 0.08 | 2.430 | 4.625 |
| Total | 10,233 | 100.00 | 2.465 | 1.224 |
| Industry | % | Mean | Mean | |
|---|---|---|---|---|
| Agriculture, forestry and fishing | 32 | 0.31 | 4.395 | 0.844 |
| Mining | 431 | 4.21 | 2.289 | 2.582 |
| Construction | 87 | 0.85 | 0.481 | 1.770 |
| Manufacturing | 5,829 | 56.96 | 2.240 | 1.051 |
| Transportation and utilities | 493 | 4.82 | 6.129 | 3.724 |
| Wholesale | 514 | 5.02 | 2.135 | 0.807 |
| Retail | 869 | 8.49 | 3.512 | 2.306 |
| Services | 1,970 | 19.25 | 1.936 | 0.414 |
| Others | 8 | 0.08 | 2.430 | 4.625 |
| Total | 10,233 | 100.00 | 2.465 | 1.224 |
| Types of misconduct | Firm-year observations | Total count of misconduct | Total penalties (million) | |
|---|---|---|---|---|
| Panel C: Sample distributions by types of non-financial misconduct | ||||
| Labor | 2,889 | 8,048 | 3,501.54 | |
| Consumer | 274 | 274 | 490.14 | |
| Environment | 1,562 | 3,062 | 671.74 | |
| Other | 431 | 555 | 8,248.51 | |
| Types of misconduct | Firm-year observations | Total count of misconduct | Total penalties (million) | |
|---|---|---|---|---|
| Labor | 2,889 | 8,048 | 3,501.54 | |
| Consumer | 274 | 274 | 490.14 | |
| Environment | 1,562 | 3,062 | 671.74 | |
| Other | 431 | 555 | 8,248.51 | |
aTo assess potential selection bias, we compare firm size and profitability between our final sample (N = 10,233) and the full Compustat universe (N = 128,739). We find that our final sample firms are significantly larger (Mean SIZE = 8.224 vs 5.680) and more profitable (Mean ROA = 0.111 vs –0.374), both significant at p < 0.001. This limitation arises from the data requirements across multiple databases – AuditAnalytics, Compustat, Execucomp and BoardEx. Consequently, while our sample may not generalize to smaller or financially constrained firms, the findings remain robust and most relevant to large, well-established firms with complex governance structures that face greater auditor scrutiny and higher audit fees. Panel B: The industry classification follows Dopuch et al. (1987): Agriculture, forestry and fishing (SIC code 100–999); Mining (SIC code 1000–1499); Construction (SIC code 1500–1999); Manufacturing (SIC code 2000–3999); Transportation and utilities (SIC code 4000–4999); Wholesale (SIC code 5000–5199); Retail (SIC code 5200–5999); Services (SIC code 7000–8999); Others (SIC code < 100 or > 8999). The definition and measurement of the variables are described in Appendix. Panel C: The Violation Tracker database categorizes non-financial violations into Eight groups: competition, consumer protection, employment, environment, government contracting, health care, workplace safety and miscellaneous. Following Raghunandan (2021), employment and workplace safety are grouped under labor, while consumer protection and environment remain unchanged. Government contracting, health care, competition and miscellaneous are categorized as other
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