24 Anna Iara / Iulia Traistaru
Tab. A2.3: Correlations among the variables (cross-section models)
Y = 1/T ln (GDPCAPi,t+T/GDPCAPi,t) SPECG = 1/T ln (SPECi,t+T/SPECi,t)
|
Y |
lnGDPCAP |
lnFDI |
SPECG |
AGRIC |
SERV |
OPEN | |
|
Y______ |
1.0000 | ||||||
|
lnGDPCAP |
0.5380 |
1.0000 | |||||
|
lnFDI |
0.6168 |
0.8055 |
1.000 | ||||
|
SPECG |
0.3501 |
0.0366 |
0.0450 |
1.0000 | |||
|
AGRIC |
-0.3634 |
-0.2440 |
-0.2427 |
0.2257 |
1.0000 | ||
|
SERV |
-0.0631 |
0.3911 |
0.3084 |
-0.1535 |
-0.5640 |
1.0000 | |
|
OPEN |
0.3088 |
0.1016 |
0.0549 |
-0.0038 |
0.0147 |
-0.1719 |
1.0000 |
Tab. A2.4: Testing for regional convergence (cross-section models)
Dependent variable: Average annual growth rate of regional real GDP per capita, Hungary, 1994-2000
|
(1) |
(2) |
(3) |
(4) | |
|
LnGDPCAP |
0.0538*** |
0.0569*** |
0.0415*** |
0.0410*** |
|
SPECG |
0.2551*** |
0.2841*** |
0.2856*** | |
|
AGRIC |
-0.3964*** |
-0.3842*** |
-0.3856*** | |
|
SERV |
-0.1733*** |
-0.1274*** |
-0.1272** | |
|
OPEN |
0.040 |
-0.0117 (0.0330) | ||
|
BORDEU |
0.0288*** |
0.0311** | ||
|
Constant |
-0.3108*** |
-0.2144** |
-0.1369** |
-0.1306* |
|
R2 ~ |
0.2894 |
0.7548 |
0.8413 |
0.8427 |
|
adj. R2 |
0.2499 |
0.6673 |
0.7846 |
0.7702 |
|
N______ |
20 |
20 |
20 |
20 |
Estimations with White-corrected standard errors
*, **, *** significant at 10%, 5%, 1% levels; robust standard errors in parentheses
More intriguing information
1. The name is absent2. Evolutionary Clustering in Indonesian Ethnic Textile Motifs
3. The name is absent
4. Flatliners: Ideology and Rational Learning in the Diffusion of the Flat Tax
5. Surveying the welfare state: challenges, policy development and causes of resilience
6. The name is absent
7. The name is absent
8. Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats
9. The name is absent
10. The name is absent