Table 7. Endogenous Growth Model with Diagnostics for Spatial Models.
Sectors Models a Variables |
Total | |||
OLS |
_____GM-HET |
OLS | ||
Low |
High | |||
Constant |
-0.270*** |
-0.318** |
-0.134 |
-0.052 |
Human capital |
0.012*** |
0.017*** |
0.014*** |
-0.031 |
Spillover human capital |
0.007 |
0.007 |
0.003 |
0.022 |
Spatial domestic effect |
-0.009 |
-0.037** |
-0.003 |
0.052*** |
Catch-up |
0.011*** |
0.024*** |
0.009 |
0.012*** |
Log labor ratio |
-0.880*** |
-1.087*** |
-0.436 |
1.082 |
Log capital ratio |
0.421*** |
0.516*** |
0.177 |
-0.516 |
Spatial AR parameter13 |
0.325*** | |||
R2 adjusted |
0.76 |
0.36 | ||
AIC |
-121.23 |
28.01 | ||
LIK |
67.61 |
-7.00 | ||
JBc |
1.03 |
3.79 | ||
BPd |
8.42 |
4.35 | ||
Chow-Walde |
7.91 | |||
I |
0∣γ- ■ ■ |
0.12** | ||
LM-error |
2.56* |
1.38 | ||
Robust LM-error |
1.71 |
2.47 | ||
LM-Iag |
1.10 |
0.28 | ||
Robust LM-Iag |
0.25 |
1.38 | ||
LM-SARMA__________ |
_________2.81 |
________2.76 |
,' Significance at the 1, 5 and 10% level is signaled by ***, ** and *, respectively,
b Spatial Autoregressive parameter of the spatial error model.
cJarque Bera test for normality of the errors.
d Breusch-Pagan test with random coefficients as the alternative hypothesis.
c Chow-Wald test for stability of coefficients across regimes.
Mining__________________ |
Constmction | |||
______GM-HET______ |
OLS |
_____GM-HET | ||
Low |
High |
Low |
High | |
1.280 |
-0.506 |
-0.250 |
-0.178 |
-0.303 |
-0.036 |
-0.020 |
-0.003 |
-0.012 |
0.005 |
-0.015 |
0.041 |
0.012 |
0.010 |
0.015 |
-0.007 |
0.017 |
-0.010 |
0.009 |
-0.032 |
0.014*** 0.028** |
0.010 |
0.004 |
0.030 | |
0.022 |
-0.347 |
.ɪ 464*** |
-1.282** |
-0.956* |
-0.170 |
0.013 |
0.732*** |
0.672*** |
0.477* |
0.460*** |
-0.440*** | |||
0.48 | ||||
-59.51 | ||||
36.75 | ||||
9 93*** | ||||
9.93 | ||||
4.52 |
4.67 |
0.10*
0.73
2.51
0.01
1.78
2.51
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