Regression results, robustness tests on subsamples excluding the most frequent country and the sectors
| Regressor | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 |
|---|---|---|---|---|---|---|
| Excl. UK firms | Excl. Internet and Software, Mobile | |||||
| famDum | 0.203** | −0.186 | ||||
| (0.088) | (0.144) | |||||
| cumulFamNbr | 0.122** | 0.094 | −0.098 | 0.076 | ||
| (0.049) | (0.070) | (0.099) | (0.368) | |||
| Complexity measures | ||||||
| inventorsNbr | 0.000 | −0.062 | ||||
| (0.046) | (0.119) | |||||
| techScope | −0.139 | 0.216 | ||||
| (0.089) | (0.247) | |||||
| bwdPatCitNbr | −0.014** | −0.010 | ||||
| (0.006) | (0.024) | |||||
| bwdPubCitsPerc | −0.160 | −0.537 | ||||
| (0.409) | (1.053) | |||||
| Quality measures | ||||||
| assigneesNbr | 0.194** | 0.749* | ||||
| (0.089) | (0.431) | |||||
| geoScope | 0.036 | 0.169 | ||||
| (0.030) | (0.139) | |||||
| weiFwdCitsNbr | 0.205*** | −0.104 | ||||
| (0.065) | (0.183) | |||||
| Controls | ||||||
| pastFinAmt | 0.008*** | 0.007*** | 0.010*** | 0.012*** | 0.012*** | 0.065*** |
| (0.003) | (0.003) | (0.002) | (0.004) | (0.004) | (0.024) | |
| firmAgeAtDeal | 0.005 | 0.004 | −0.016 | 0.008 | 0.009 | −0.040 |
| (0.014) | (0.014) | (0.020) | (0.032) | (0.032) | (0.080) | |
| Time, sector, geo dummies | Yes | Yes | Yes | Yes | Yes | Yes |
| Round dummies | Yes | Yes | Yes | Yes | Yes | Yes |
| Constant | −10.893 | −11.188 | 41.544 | −161.386** | −161.972** | −74.889 |
| (33.803) | (33.818) | (44.588) | (69.581) | (70.428) | (246.990) | |
| Observations | 1,286 | 1,286 | 458 | 276 | 276 | 61 |
| R-squared | 0.502 | 0.503 | 0.452 | 0.634 | 0.633 | 0.691 |
| Adjusted R-squared | 0.491 | 0.492 | 0.412 | 0.606 | 0.605 | 0.513 |
| Regressor | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 |
|---|---|---|---|---|---|---|
| Excl. UK firms | Excl. Internet and Software, Mobile | |||||
| 0.203** | −0.186 | |||||
| (0.088) | (0.144) | |||||
| 0.122** | 0.094 | −0.098 | 0.076 | |||
| (0.049) | (0.070) | (0.099) | (0.368) | |||
| 0.000 | −0.062 | |||||
| (0.046) | (0.119) | |||||
| −0.139 | 0.216 | |||||
| (0.089) | (0.247) | |||||
| −0.014** | −0.010 | |||||
| (0.006) | (0.024) | |||||
| −0.160 | −0.537 | |||||
| (0.409) | (1.053) | |||||
| 0.194** | 0.749* | |||||
| (0.089) | (0.431) | |||||
| 0.036 | 0.169 | |||||
| (0.030) | (0.139) | |||||
| 0.205*** | −0.104 | |||||
| (0.065) | (0.183) | |||||
| 0.008*** | 0.007*** | 0.010*** | 0.012*** | 0.012*** | 0.065*** | |
| (0.003) | (0.003) | (0.002) | (0.004) | (0.004) | (0.024) | |
| 0.005 | 0.004 | −0.016 | 0.008 | 0.009 | −0.040 | |
| (0.014) | (0.014) | (0.020) | (0.032) | (0.032) | (0.080) | |
| Time, sector, geo dummies | Yes | Yes | Yes | Yes | Yes | Yes |
| Round dummies | Yes | Yes | Yes | Yes | Yes | Yes |
| Constant | −10.893 | −11.188 | 41.544 | −161.386** | −161.972** | −74.889 |
| (33.803) | (33.818) | (44.588) | (69.581) | (70.428) | (246.990) | |
| Observations | 1,286 | 1,286 | 458 | 276 | 276 | 61 |
| 0.502 | 0.503 | 0.452 | 0.634 | 0.633 | 0.691 | |
| Adjusted | 0.491 | 0.492 | 0.412 | 0.606 | 0.605 | 0.513 |
Note(s): The dependent variable is the logarithm of the financed amount. Robust standard errors are shown in parentheses. Models 1 to 3 analyze the subsample that exclude the most frequent country (United Kingdom). Models 4 to 6 focus on the sub-sample of low appropriability sectors and exclude the two most frequent sectors (“Internet”, “Software and Mobile”). The significance levels are represented by ∗∗∗ as 1%, ∗∗ as 5%, and ∗ as 10%
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