Table 7. Endogenous Growth Model with Diagnostics for Spatial Models (continued).
Sectors Models a Variables |
______________T ransp Ortation / U tilities______________ | |||
OLS ___ |
GM-HET_______ |
OLS | ||
Low |
High | |||
Constant |
-0.169 |
0.25 |
-0.197 |
-0.197 |
Human capital |
0.008 |
0.012 |
0.002 |
0.027*** |
Spillover human capital |
0.020*** |
0.015 |
0.021*** |
-0.011* |
Spatial domestic effect |
-0.028* |
-0.140** |
0.002 |
-0.027*** |
Catch-up |
0.025** |
0.090** |
0.005 |
0.019*** |
Log labor ratio |
-0.880*** |
0.039 |
-1.105*** |
-0.653*** |
Log capital ratio |
0.391*** |
-0.033 |
0.490*** |
0.303*** |
Spatial AR parameter |
-0.140*« | |||
R2 adjusted0 |
0.48 |
0.66 | ||
AIC |
-70.57 |
-95.10 | ||
LIK |
42.29 |
54.55 | ||
JB |
2.32 |
0.16 | ||
BPd |
7.87 |
8.80 | ||
Chow-Walde |
9.17 | |||
I |
-0.05 |
0.04 | ||
LM-error |
0.27 |
0.18 | ||
Robust LM-error |
0.50 |
0.18 | ||
LM-Iag |
0.04 |
0.06 | ||
Robust LM-Iag |
0.28 |
0.06 | ||
LM-SARMA______ |
____________0.56___________ |
0.24 | ||
,' Significance at the 1, 5 and 10% level is signaled by ***, ** and *, respectively, cJarque Bera test of normality of errors. d Breusch-Pagan test with random coefficients as the alternative hypothesis. | ||||
, Chow-Wald test for s |
Itability of coefficients across regimes. |
Services
Finance Insurance and Real Estate
______GM-HET______ |
OLS _____GM-HET |
Low High |
Low High |
0.080 |
-0.465 |
-0.400* |
-0.367 |
-0.587 |
0.012* |
0.046*** |
0.010 |
-0.010 |
0.031*** |
-0.024*** |
-0.022** |
0.001 |
0.009 |
0.007 |
-0.046*** |
0.029 |
-0.008 |
-0.015 |
-0.025 |
0.039*** |
-0.019 |
0.021*** |
0.032*** |
0.025** |
-0.740*** |
-0.563 |
-0.791* |
-0.426 |
-0.804 |
0.329*** |
0.303 |
0.432** |
0.311* |
0.345 |
0.120*** 16.41** |
0.69 -48.80 31.40 5.03* 13.96** |
0.400*** 19.68*** |
0.22***
3.78**
2.60*
1.55
0.37
4.15
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