relative to the size of the economy and the variables used to model FDI. In addition, the last year
of available data (2003) was excluded from some models because it appears to reflect only
partial FDI inflows.
Labor supply and debt proved to be largely insignificant in all of the models and was
excluded from further analyses. The models below had the most statistically significant t-values
and provided some interesting results.
Model 1 - Imports and Urban Population (sample size of 9)
|
Parameter Estimate |
T-value |
Standard Error | |
|
Intercept____________________________ |
_______-25401_______ |
-2.85 |
8910.92571 |
|
Urban Population__________________ |
1097.25958 |
2.80 |
391.29683 |
|
Imports___________________________ |
-325.18537 |
-2.34 |
139.13828 |
|
R-square_________________________ |
_______0.5911_______ | ||
|
Adjusted R-Square________________ |
_______0.4743_______ | ||
|
F-Value___________________________ |
_________5.06_________ |
Model 2 - Imports, Urban Population and Tax revenue as a percentage of GDP lagged by one
year (sample size of 9)
|
Parameter Estimate |
T-value |
Standard Error | |
|
Intercept____________________________ |
-27348________ |
-3.41 |
8910.92571 |
|
Urban Population__________________ |
1062.01638 |
3.04 |
391.29683 |
|
Imports___________________________ |
-265.90883 |
-2.07 |
139.13828 |
|
Tax Revenue lagged by one year_____ |
238.46164 |
1.68 |
128.75042 |
|
R-square_________________________ |
_______0.7223_______ | ||
|
Adjusted R-Square________________ |
_______0.5835_______ | ||
|
F-Value___________________________ |
_________5.20_________ |
Model 3 - Urban Population, Tax revenue as a percentage of GDP lagged by one year and the
Literacy rate of the population (sample size of 8)
|
Parameter Estimate |
T-value |
Standard Error |
16