Table 6.

Regression analysis using Probit, Logit and LPMs

Probit modelLogit modelLinear probability
model
Firm survivalNon-robustRobustNon-robustRobustNon-robustRobust
Risk−1.698−1.698−3.266−3.266−0.491−0.491
 (2.82)***(2.39)**(2.58)***(−1.86)*(3.15)***(3.21)***
Financing−1.251−1.251−2.496−2.496−0.376−0.376
 (2.42)**(−1.93)*(2.33)**−1.59(2.50)**(2.25)**
Experience0.750.751.6511.6510.220.22
 −0.91−0.85−1.08−0.88−0.9−0.88
Competition1.111.112.0952.0950.2610.261
 −1.1−1.31−1.2−1.33−1.09−1.44
Compliance−0.417−0.417−1.045−1.045−0.102−0.102
 −0.71−0.63−0.93−0.72−0.6−0.57
Choice-expansion0.1780.1780.1880.1880.1010.101
 −0.26−0.29−0.16−0.18−0.55−0.63
Lack of adaptability−0.395−0.395−0.776−0.776−0.082−0.082
 −0.71−0.87−0.8−0.93−0.5−0.65
_cons0.090.090.4660.4660.5290.529
 −0.08−0.09−0.23−0.28−1.56−1.91
MLR test (P-value)0.0233**0.0182**
F-test (p-value)0.0380.0345**
PseudoR20.29550.29550.30770.3077
R20.34160.3416
N414141414141

Notes:

Values in parentheses indicate signification at *p < 0.10; ** p < 0.05; *** p < 0.01 levels

Source: Own elaboration

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