Table 1

Random effects Probit regression results: innovation and decision to export in family firms

VariablesModel 1Model 2Model 3Model 4Model 5Model 6
Intercept−1.9936***−2.0265***−2.0008***−1.9973***−2.0197***−2.033***
MARKINN 0.2709***   0.1806***
ORGINN  0.1402**  −0.0245
PRODINN   0.3433*** 0.2365***
PROCINN    0.206***0.1250**
SOLVENCY0.0021**0.0022**0.0022**0.0022**0.0023**0.0024**
AGE0.0059***0.0058***0.0061***0.0060***0.0061***0.0060***
FOROWNER0.0065***0.0065***0.0066***0.0063***0.0064***0.0063***
SIZE0.5787***0.5703***0.5708***0.5601***0.5580***0.5493***
MARGIN0.0024*0.0025*0.0024*0.0025**0.00200.0023*
Log Likelihood−2225.81−2214.42−2222.78−2212.53−2217.43−2204.62
Wald χ2952.78***948.46***956.73***939.68***960.13***946.74***
Pseudo R20.25020.2540.25120.25470.2530.2573
N (observ.)5,0385,0385,0385,0385,0385,038

Note(s): *p < 0.1, **p < 0.05, ***p < 0.01. All models include industry and year dummies as control variables

Source(s): Authors’ own work

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