Table 6 Model Estimated Cficients.
From: Machine learning and statistical models for analyzing multilevel patent data
Variable | Poisson | NBM | NBMM FE | |||
|---|---|---|---|---|---|---|
ES (95% CI) | p-value | ES (95% CI) | p-value | ES (95% CI) | p-value | |
NumHeaTec | 0.20 (0.20,0.21) | < 0.001 | 0.35 (0.16,0.55) | < 0.001 | 0.72 (0.54,0.92) | < 0.001 |
R &D | 0.06 (0.05,0.06) | < 0.001 | 0.39 (0.06,0.72) | < 0.01 | 0.34 (− 0.08,0.76) | 0.11 |
FinSci | 0.34 (0.33,0.35) | < 0.001 | 0.20 (− 0.14,0.56) | 0.2 | 0.36 (0.03,0.70) | < 0.05 |
HeaInc | − 0.32 (− 0.33, − 0.31) | < 0.001 | − 0.41 (− 0.64,-0.17) | < 0.001 | − 0.38 (− 0.57,-0.18) | < 0.001 |
NumPatHeaPer | 0.64 (0.64,0.65) | < 0.001 | 1.31 (1.09,1.55) | < 0.001 | 1.12 (0.92,1.32) | < 0.001 |
