Table 7

Effect of female management on firm performance (dependent variable: firm growth)

(1)(2)(3)(4)
OLS model
ASO
OLS model innov. startupsOLS model
ASO and innov. startups
IV model
ASO and innov. startups
Female management−1.870***0.3400.23572.644**
(0.476)(0.537)(0.538)(33.614)
Spin-off  −0.396−11.079**
  (0.385)(5.385)
Female management × Spinoff  −1.590**−73.627**
  (0.702)(33.469)
Age (log)−2.906***−2.623***−2.854***−3.278***
(0.393)(0.217)(0.188)(0.316)
Size−0.154−0.963***−0.673***−0.550***
(0.171)(0.147)(0.110)(0.142)
Tangibility−128.926***−0.253−0.174−0.812
(48.704)(1.002)(0.989)(1.499)
Profitability−0.404−5.584***−2.767***−3.590***
(0.620)(0.919)(0.536)(0.696)
Debt−0.1010.331***0.186***−0.011
(0.067)(0.040)(0.036)(0.106)
Cash Holdings19.8874.063***3.695***2.427*
(18.856)(0.950)(0.935)(1.315)
Foreign management1.731−0.1042.526**1.652
(1.125)(0.634)(1.028)(1.133)
Venture Capital1.931−1.039*−0.323−0.745
(2.228)(0.614)(0.569)(0.729)
R20.0210.0570.040 
Observations10,38619,27229,65829,658

Note(s): Results in columns (1), (2) and (3) are based on pooled regressions. Year- and industry-fixed effects are included. Although the Durbin–Wu–Hausman endogeneity test fails to reject the null hypothesis of exogeneity for the variable Female management, and the RIR test suggests a very low probability that our results are affected by endogeneity, we also report the IV estimates in column (4), using the industry-level average of female managers as an instrument, with results perfectly in line with column (3). Robust standard errors are reported in brackets. ***p < 0.01, **p < 0.05, *p < 0.10

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