Table A2

Regression results, subsamples of sectors with high and low patent intensity (sensitivity test on the exclusion of sectors near the threshold that distinguishes low and high appropriability and of the sector education)

RegressorModel 1Model 2Model 3Model 4Model 5Model 6
Low appropriability sectorsHigh appropriability sectors
famDum0.070  0.411***  
(0.110)  (0.140)  
cumulFamNbr 0.006−0.178 0.257***0.258**
 (0.080)(0.126) (0.060)(0.100)
Complexity measures
inventorsNbr  0.033  −0.055
  (0.060)  (0.064)
techScope  0.072  −0.075
  (0.120)  (0.083)
bwdPatCitsNbr  −0.011  −0.000
  (0.014)  (0.004)
bwdPubCitsPerc  −1.053  −0.520
  (0.710)  (0.916)
Quality measures
assigneesNbr  0.157  0.299
  (0.183)  (0.226)
geoScope  0.037  0.051
  (0.067)  (0.032)
weiFwdCitsNbr  −0.028  0.060
  (0.103)  (0.117)
Control variables
pastFinAmt0.007**0.007**0.015***0.011***0.008***0.007***
(0.004)(0.004)(0.002)(0.003)(0.003)(0.002)
firmAgeAtDeal0.041**0.043**0.040−0.025−0.032−0.051**
(0.017)(0.018)(0.038)(0.022)(0.021)(0.024)
Time, sector, geo dummiesYesYesYesYesYesYes
Round dummiesYesYesYesYesYesYes
Constant−0.0112.26084.00564.56054.16294.453
(40.296)(40.508)(81.465)(54.334)(51.493)(60.348)
Observations969969178477477367
R-squared0.5330.5330.5350.3740.3950.385
Adjusted R-squared0.5230.5230.4690.3540.3750.346

Note(s): The dependent variable is the logarithm of the financed amount. Robust standard errors are shown in parentheses. Models 1 to 3 and 4 to 6 are tested on the low and high appropriability sectors, respectively. Models 3 and 6 are tested on the subsample of companies holding at least one patent. The significance levels are represented by ∗∗∗ as 1%, ∗∗ as 5%, and ∗ as 10%

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