Table 3.

Definition of the variables and expected correlations with the dependent variable (exit_value, namely, the natural log of the exit valuation)

VariableDescriptionExpected correlation
with Exit_value
Exit decision:
IPO
Dummy variable equal to 1 if the exit occurs through an IPO; 0 otherwise (M&A)+
Deal_stakeNatural log of the percentage equity capital sold at the exit–
Investors:
BA
N_investors
N_privateVC
N_GVC
Dummy variable equal to 1 if BAs previously invested in a startup
Total number of pre-deal investors
Number of different independent and corporate VCs that invested in a startup
Number of different governmental VCs that invested in a startup
+
+
+
+
Team:
Avg_years_study
Avg_years_work
Women
Average number of years of academic education held by founders
Average number of years of working experience held by founders
Dummy variable equal to 1 if there is a woman among founders
+
+
+
Control variables:
Assets
Net_profit
Firm_age
Manufacturing
France
Germany
Northern_Europe
Southern_Europe
UK
Benelux
Other_country
Log of total company assets (year before the exit)
Total company earnings (year before the exit)
Natural log of (1+company age)
Dummy variable equal to 1 if a startup is active in a manufacturing industry (Eurostat classification)
Dummy equal to 1 if the firm is based in France
Dummy equal to 1 if the firm is based in Germany
Dummy equal to 1 if the firm is based in Denmark or Finland
Dummy equal to 1 if the firm is based in Spain or Portugal
Dummy equal to 1 if the firm is based in the UK
Dummy equal to 1 if the firm is based in Belgium, the Netherlands or Luxembourg
Dummy equal to 1 if the firm is based in other countries
 
Instrument:
IPO_momentum
Number of IPOs registered in the sample countries in the three-year time slot around the firm foundation year 
Heckman model:
Prob_Exit
Inverse Mills' ratio of the probability to be acquired estimated by implementing a Heckman selection model 

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