Table of Contents Table of Contents
Previous Page  267 /304 Next Page
Information
Show Menu
Previous Page 267 /304 Next Page
Page Background

267

臺大管理論叢

28

卷第

1

Prob(

EFFECTIVE

) =

β

0

+

β

1

SOX404

+

β

2

SIZE

+

β

3

ROA

+

β

4

LEV

+

β

5

PE

+

β

6

MB

+

β

7

BIGN

+

β

8

RCP

+

β

9

FT

+

β

10

AGLOSS

+

β

11

MARKETCAP

+

δ

YEAR

+

ψ

INDUSTRY

+

ε

(1)

Prob(

EFFECTIVE

) =

β

0

+

β

1

AS5

+

β

2

SIZE

+

β

3

ROA

+

β

4

LEV

+

β

5

PE

+

β

6

MB

+

β

7

BIGN

+

β

8

RCP

+

β

9

FT

+

β

10

AGLOSS

+

β

11

MARKETCAP

+

δ

YEAR

+

ψ

INDUSTRY

+

ε

(2)

where

EFFECTIVE

is coded 1 if a company concludes that its internal control system

is effective in its 10-K filing and 0 if otherwise. Our experimental variables of interest are

SOX404

and

AS5

.

SOX404

is a dummy variable with a value of 1 if a company is subject

to SOX 404 and 0 if a company is subject to SOX 302.

AS5

is also a dummy variable that

is coded 1 if AS5 is applicable to the company and 0 if AS2 is applicable to the company.

We estimate Model 1 using the subsamples of restatement companies and non-

restatement companies, separately. For the subsample of restatement companies, based on

H1a, we expect the coefficient on

SOX404

to be negative, which would suggest that the

implementation of SOX 404 has reduced Type II errors in the sense that restatement

companies are less likely to conclude that their ICFR systems are effective under the SOX

404 regime. For the subsample of non-restatement companies, based on H1b, it is

expected that the coefficient on

SOX404

is negative, which would suggest that non-

restatement companies are less likely to conclude that their ICFR systems are effective

under the SOX 404 regime, resulting in a higher Type I error rate.

To test H2a and H2b, we draw a sample covering only companies subjected to SOX

404 and estimate Model 2 in the same manner using the subsamples of restatement

companies and non-restatement companies, separately. For the subsample of restatement

companies, based on H2a, we do not have directional expectation of the coefficient on

AS5

. If the coefficient on

AS5

is positive (negative), it suggests that restatement companies

adopting AS5 are more (less) likely to conclude that their ICFR systems are effective, and

thus result in a higher (lower) Type II error rate. For the subsample of non-restatement

companies, based on H2b, it is expected that the coefficient on

AS5

is positive, which

would suggest that non-restatement companies are more likely to conclude that their ICFR

systems are effective if they adopt AS5 and thereby result in a lower Type I error rate.