Agriculture Reference
In-Depth Information
Table 3.1 Results obtained with cross-section econometric techniques, considering the agricul-
tural output (at basic price, base year: 2005
100) in average from 1990 to 2007 as dependent
¼
variable
Model
Constant
10.936*
(5.620)
[0.000]
AWU Labour force—directly employed by the holding
0.954*
(6.020)
[0.000]
Breusch-Pagan/Cook-Weisberg test for heteroskedasticity
2.690
[0.100]
Ramsey RESET test using powers of the fitted values
1.740
[0.188]
Moran's I (error)
0.281
[0.778]
Robust LM (lag)
0.001
[0.970]
Robust LM (error)
0.001
[0.967]
Note : *Statistically significant at 5 %
Table 3.2 Results obtained with cross-section econometric techniques, considering the agricul-
tural output (at producer price, base year: 2005
100) in average from 1990 to 2007 as dependent
¼
variable
Model
Constant
10.763*
(5.480)
[0.000]
AWU Labour force—directly employed by the holding
0.962*
(6.020)
[0.000]
Breusch-Pagan/Cook-Weisberg test for heteroskedasticity
2.430
[0.118]
Ramsey RESET test using powers of the fitted values
1.640
[0.208]
Moran's I (error)
0.248
[0.803]
Robust LM (lag)
0.013
[0.909]
Robust LM (error)
0.000
[0.997]
Note : *Statistically significant at 5 %
The LM tests (Lagrange Multiplier) are usually used to analyze the spatial
autocorrelation that come from the dependent variable in neighboring locations
(LM lag) and from random effects in neighboring spatial units (LM error).
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