Results of the Tobit model with left censoring
| Regressor | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| famDum | 0.171** | |||
| (0.070) | ||||
| cumulFamNbr | 0.107** | 0.091 | 0.084 | |
| (0.042) | (0.071) | (0.071) | ||
| Complexity measures | ||||
| inventorsNbr | −0.013 | −0.015 | ||
| (0.042) | (0.042) | |||
| techScope | −0.038 | −0.034 | ||
| (0.072) | (0.072) | |||
| bwdPatCitsNbr | 0.001 | −0.001 | ||
| (0.003) | (0.004) | |||
| bwdPubCitsPerc | −0.262 | −0.243 | ||
| (0.389) | (0.390) | |||
| Quality measures | ||||
| assigneesNbr | 0.179** | 0.181** | ||
| (0.081) | (0.080) | |||
| geoScope | 0.039* | 0.034 | ||
| (0.023) | (0.023) | |||
| weiFwdCitsNbr | 0.086* | |||
| (0.051) | ||||
| Control variables | ||||
| pastFinAmt | 0.009*** | 0.009*** | 0.011*** | 0.011*** |
| (0.003) | (0.003) | (0.002) | (0.002) | |
| firmAgeAtDeal | 0.011 | 0.009 | −0.015 | −0.015 |
| (0.012) | (0.012) | (0.017) | (0.017) | |
| Time, sector, geo dummies | Yes | Yes | Yes | Yes |
| Round dummies | Yes | Yes | Yes | Yes |
| Constant | −1.434 | −4.001 | 60.405* | 52.129 |
| (26.900) | (26.746) | (35.620) | (35.716) | |
| Sigma | 1.010*** | 1.009*** | 0.944*** | 0.942*** |
| (0.025) | (0.025) | (0.040) | (0.040) | |
| Observations | 1,988 | 1,988 | 726 | 726 |
| Log-pseudolikelihood | −2,843 | −2,841 | −988.1 | −987 |
| Pseudo R-squared | 0.188 | 0.189 | 0.167 | 0.168 |
| Regressor | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| 0.171** | ||||
| (0.070) | ||||
| 0.107** | 0.091 | 0.084 | ||
| (0.042) | (0.071) | (0.071) | ||
| −0.013 | −0.015 | |||
| (0.042) | (0.042) | |||
| −0.038 | −0.034 | |||
| (0.072) | (0.072) | |||
| 0.001 | −0.001 | |||
| (0.003) | (0.004) | |||
| −0.262 | −0.243 | |||
| (0.389) | (0.390) | |||
| 0.179** | 0.181** | |||
| (0.081) | (0.080) | |||
| 0.039* | 0.034 | |||
| (0.023) | (0.023) | |||
| 0.086* | ||||
| (0.051) | ||||
| 0.009*** | 0.009*** | 0.011*** | 0.011*** | |
| (0.003) | (0.003) | (0.002) | (0.002) | |
| 0.011 | 0.009 | −0.015 | −0.015 | |
| (0.012) | (0.012) | (0.017) | (0.017) | |
| Time, sector, geo dummies | Yes | Yes | Yes | Yes |
| Round dummies | Yes | Yes | Yes | Yes |
| Constant | −1.434 | −4.001 | 60.405* | 52.129 |
| (26.900) | (26.746) | (35.620) | (35.716) | |
| Sigma | 1.010*** | 1.009*** | 0.944*** | 0.942*** |
| (0.025) | (0.025) | (0.040) | (0.040) | |
| Observations | 1,988 | 1,988 | 726 | 726 |
| Log-pseudolikelihood | −2,843 | −2,841 | −988.1 | −987 |
| Pseudo | 0.188 | 0.189 | 0.167 | 0.168 |
Note(s): The dependent variable is the logarithm of the financed amount. Robust standard errors are shown in parentheses. Models 1 and 2 are tested on the full sample of companies. Models 3 and 4 are tested on the subsample of companies with at least one patent. The significance levels are represented by ∗∗∗ as 1%, ∗∗ as 5%, and ∗ as 10%
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