15
Table 6.1: Verdoorn’s law: estimation and testing results
|
Non-spatial GLS estimation |
Spatial SUR estimation | |
|
Output growth |
Coefficient t-statistic 0.1480 13.561 |
Coefficient t-statistic 0.1906 12.434 |
|
Constant |
-0.0044 -7.139 |
-0.0023 -4.426 |
|
D98 |
0.0129 13.749 |
0.0121 15.502 |
|
D99 |
0.0138 13.037 |
0.0126 13.128 |
|
D00 |
0.0143 13.510 |
0.0134 14.476 |
|
Empl. threshold |
0.0294 7.543 |
0.0121 4.551 |
|
R2 SER SSR 0.141 0.018 0.471 |
R2 SER SSR 0.376 0.016 0.342 |
|
Non-spatial GLS |
Spatial SUR estimation | |||
|
Year |
Moran's I residuals |
Moran's I residuals |
Significant eigen- |
Moran's I spatial |
|
1993 |
0.403 (8,782) |
-0.046 (-0,507) |
1, 2, 4 |
0.966 |
|
1994 |
0.065 (1,589) |
-0.007 (0,336)) |
1, 2, 8 |
0.976 |
|
1995 |
0.189 (4,158) |
0.043 (1,703) |
1, 2, 4, 12, 18, 29 |
0.897 |
|
1996 |
0.260 (5,633) |
-0.031 (0,423) |
2, 3, 6, 7, 11, 16, 17, |
0.844 |
|
1997 |
0.152 (3,326) |
-0.050 (-0,603) |
1, 2, 3 |
0.972 |
|
1998 |
0.369 (7,943) |
0.016 (1,647)) |
1, 2, 3, 4, 6, 8, 10, 12, |
0.920 |
|
1999 |
0.323 (6,940) |
0.069 (2,660) |
1, 2, 3, 5, 8, 17, 23, 27, 28, 38 |
0.856 |
|
2000 |
0.491 (10,603) |
0.038 (1,936) |
1, 2, 3, 4, 7, 8, 14, 15 |
0.959 |
Notes: Non-spatial GSL estimation is based on the SUR model (3.4) without applying the spatial filtering
approach. D98, D99, D00: Dummies for 1998, 1999 and 2000, R2: coefficient of determination,
SER: standard error of regression, SSR: sum of squared residuals
The high Moran coefficients of the linear combinations of the eigenvectors highlight the
common spatial characteristics across neighbouring regions in all subperiods. Accord-
ing to the qualitative classification scheme introduced by Griffith (2003, p. 107), the MI
scatterplot trend is pronounced in six years (MI∕MImax≥0.9). In 1996 and 1999 the
MI/MImax values indicate a conspicuous MI scatterplot trend. Figure 6.2 shows that both
west-east and east-west trends of the spatial components dominate the map patterns
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