Table 6.

Assurance and integrated reporting practices – probit regression

 123456
Panel A: Binary outcome model coefficients – baseline regression
BSIZE0.353*** (0.0968)1.032*** (0.211)0.370*** (0.118)0.966*** (0.241)
BINDP0.00186 (0.162)−1.756 (4.389)0.0817 (0.175)1.724 (5.888)
BGDIV0.229 (0.148)0.183 (0.216)0.302* (0.162)0.224** (0.236)
BEXP−0.172* (0.0946)−0.878*** (0.189)−0.223** (0.101)0.928*** (0.214)
ACSIZE−3.101 (3.48)−4.105 (3.221)−2.744 (4.61)0.943*** (4.611)
ACINDP3.982–3485.102–315.23.742–413.65.116*** −448.6
ACEXP−0.0187 (0.205)1.426 (470.3)0.0366 (0.22)1.481 (625.8)
ACMEET−1.119 (1.207)−4.581*** (1.481)3.023** (1.796)
FSIZE−4.125 (3.547)4.354 (4.150)10.26* (5.479)
FAGE4.227*** (1.159)2.661* (1.373)3.134* (1.719)
LEV0.233* (3.122)0.428** (1.741)0.523* (1.622)
IND0.051** (3.531)0.642*** (1.122)0.121* (2.723)
Constant−4.154*** (−0.694)−7.607*** (−1.055)−9.589*** (−1.429)−5.326*** (−1.04)−10.05*** (−1.646)−13.23*** (−2.333)
Observations301030103010301030103010
Pseudo R-squared0.1240.340.4990.220.4210.543
Wald x226.1871.6510546.3988.7114.4
Prob > chi20007.33E-0800
Panel B: Binary outcome model marginal effects (dy/dx)
BSIZE0.023*** (0.0066)0.040***0.021*** (0.007)0.034***
BINDP0.00011 (0.0103)−0.0680.005 (0.012)−0.062
BGDIV0.015 (0.011)0.0070.017* (0.016)0.038**
BEXP−0.011* (0.006)−0.034***−0.013** (0.006)0.033
ACSIZE−0.154 (17.377)−0.16−0.125 (18.87)0.141***
ACINDP0.198 (17.377)0.1990.171 (2.87)0.162***
ACEXP−0.0009 (0.01)0.0550.002 (0.01)0.053 –
ACMEET−0.066 (0.071)−0.209*** (0.07)−0.108*
FSIZE−0.243 (0.212)0.198 (0.188)0.366*
FAGE0.642*** (1.852)0.723* (2.272)0.5332* (1.523)
LEV0.3252** (2.821)0.191* (1.972)0.7821*** (2.542)
IND0.623** (1.751)0.7121** (2.812)0.127*** (3.513)
Observations3,0103,0103,0103,0103,0103,010

Note(s): Standard errors in parentheses; ***p < 0.01; **p < 0.05; *p < 0.1

Source(s): Compiled by author

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