Table 9.
OLS regression results | Instrumental variable regression results | |||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
gtech | gtech | tec | gtech | gtech | tec | |
exp | − 0.256** | − 0.248** | − 0.142** | − 0.912** | − 0.956** | − 0.546** |
(0.0790) | (0.0801) | (0.070) | (0.310) | (0.318) | (0.260) | |
gdp | − 0.336* | − 0.312* | − 0.242 | − 0.196 | − 0.145 | − 0.098 |
(0.173) | (0.176) | (0.153) | (0.208) | (0.213) | (0.174) | |
fdib | − 9.515** | − 9.628** | − 4.754 | − 8.101 | − 6.989 | − 8.646** |
(4.115) | (4.201) | (3.646) | (4.983) | (5.097) | (4.164) | |
govb | − 0.966** | − 0.943** | − 0.127 | − 0.676* | − 0.619 | 0.058 |
(0.358) | (0.361) | (0.314) | (0.402) | (0.405) | (0.331) | |
cyjg | − 2.796*** | − 2.867*** | 0.750* | − 2.405*** | − 2.411*** | 1.395*** |
(0.469) | (0.474) | (0.412) | (0.641) | (0.653) | (0.534) | |
rd | 23.147*** | 24.367*** | 33.072*** | 32.601*** | 33.488*** | 40.252*** |
(6.312) | (6.443) | (5.593) | (8.931) | (9.250) | (7.557) | |
wage | 0.470*** | 0.492*** | 0.016 | 0.462*** | 0.474*** | − 0.030 |
(0.058) | (0.059) | (0.051) | (0.065) | (0.067) | (0.054) | |
mal | − 0.109 | 0.031 | − 0.112 | 0.049 | ||
(0.085) | (0.074) | (0.094) | (0.077) | |||
age | 0.000 | 0.003 | − 0.000 | 0.002 | ||
(0.005) | (0.004) | (0.006) | (0.005) | |||
maj | 0.127** | 0.164*** | 0.161** | 0.174*** | ||
(0.045) | (0.039) | (0.051) | (0.042) | |||
xl | − 0.119** | − 0.078* | − 0.094* | − 0.059 | ||
(0.047) | (0.041) | (0.054) | (0.044) | |||
_cons | 5.975** | 5.622** | 6.547*** | 4.070 | 3.320 | 4.357 |
(2.742) | (2.791) | (2.423) | (3.267) | (3.354) | (2.740) | |
Time effect | Yes | Yes | Yes | Yes | Yes | Yes |
Regional effect | Yes | Yes | Yes | Yes | Yes | Yes |
N | 2232 | 2203 | 2203 | 1996 | 1969 | 1969 |
R-sq | 0.676 | 0.679 | 0.938 | 0.685 | 0.686 | 0.940 |
Note: Standard errors are in parentheses, and ***, **, and * indicate significant at the levels of 1%, 5%, and 10%, respectively