Table 3

Summary of fixed effect regression models on total dataset

Dependent variable
TDBLTDBTDMLTDM
PROFIT−0.35568a−0.09094−0.28421a−0.09044b
(0.000)(0.188)(0.003)(0.049)
lnASSET0.0002170.00988c0.000810.01169a
(0.968)(0.052)(0.955)(0.001)
M/B0.01227b0.00312−0.01704b−0.02067a
(0.020)(0.533)(0.012)(0.000)
lnAGE−0.0055080.002158−0.00779−0.00881
(0.652)(0.852)(0.774)(0.254)
TANG0.05212c0.05591c0.149779b0.14143a
(0.087)(0.053)(0.017)(0.000)
NDTS0.40198a0.175230.085263−0.01719
(0.005)(0.194)(0.610)(0.848)
RND−0.2235−0.17068−0.36936c−0.20481
(0.495)(0.583)(0.082)(0.323)
CPX−0.03856−0.14978−0.126148−0.18589a
(0.696)(0.110)(0.118)(0.003)
_CONSTANT0.22325a0.008920.1775880.001268
(0.001)(0.892)(0.418)(0.977)
Robust std. errorYesYesYesYes
Model F and > F3.641.8912.8023.29
(0.0004)(0.0580)(0.0000)(0.0000)
Overall R-squared0.10880.15830.31930.2886
Within R-squared0.03070.01620.26920.1687
Between R-squared0.21210.21250.45840.3983

Note(s):a = significance at 1% level; b = significance at 5%; c = significance at 10%

Source(s): Authors’ own work

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