Taller de econometria
mabilcvExamen7 de Marzo de 2022
1.980 Palabras (8 Páginas)113 Visitas
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DEMANDA AGREGADA
Dependent Variable: DA | ||||
Method: Least Squares | ||||
Date: 09/21/17 Time: 08:57 | ||||
Sample: 2000Q1 2017Q2 | ||||
Included observations: 70 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | -2012.854 | 1113.909 | -1.807018 | 0.0755 |
C01 | 1.062258 | 0.058726 | 18.08841 | 0.0000 |
I | 0.629976 | 0.106761 | 5.900804 | 0.0000 |
G | 0.974728 | 0.129346 | 7.535839 | 0.0000 |
M | 0.333148 | 0.073012 | 4.562926 | 0.0000 |
X | 1.012149 | 0.052125 | 19.41756 | 0.0000 |
R-squared | 0.999828 | Mean dependent var | 151072.4 | |
Adjusted R-squared | 0.999815 | S.D. dependent var | 66491.84 | |
S.E. of regression | 904.4270 | Akaike info criterion | 16.53430 | |
Sum squared resid | 52351248 | Schwarz criterion | 16.72702 | |
Log likelihood | -572.7004 | Hannan-Quinn criter. | 16.61085 | |
F-statistic | 74575.15 | Durbin-Watson stat | 2.158589 | |
Prob(F-statistic) | 0.000000 | |||
test de normalidad
[pic 1]
Si el vp es > que el α podemos apreciar que se esta aceptando la hipótesis del modelo mostrado la cual presenta nomalidad.
Coeficiente de relacion
Breusch-Godfrey Serial Correlation LM Test: | ||||
F-statistic | 0.371432 | Prob. F(2,62) | 0.6913 | |
Obs*R-squared | 0.828787 | Prob. Chi-Square(2) | 0.6607 | |
Test Equation: | ||||
Dependent Variable: RESID | ||||
Method: Least Squares | ||||
Date: 09/21/17 Time: 09:10 | ||||
Sample: 2000Q1 2017Q2 | ||||
Included observations: 70 | ||||
Presample missing value lagged residuals set to zero. | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | -43.62196 | 1131.523 | -0.038552 | 0.9694 |
C01 | -0.002270 | 0.060222 | -0.037688 | 0.9701 |
I | -0.011104 | 0.108764 | -0.102093 | 0.9190 |
G | 0.013669 | 0.133828 | 0.102137 | 0.9190 |
M | 0.002759 | 0.075103 | 0.036736 | 0.9708 |
X | 0.008829 | 0.053632 | 0.164623 | 0.8698 |
RESID(-1) | -0.075849 | 0.130246 | -0.582354 | 0.5624 |
RESID(-2) | 0.075616 | 0.132595 | 0.570275 | 0.5706 |
R-squared | 0.011840 | Mean dependent var | -2.97E-11 | |
Adjusted R-squared | -0.099727 | S.D. dependent var | 871.0418 | |
S.E. of regression | 913.4428 | Akaike info criterion | 16.57953 | |
Sum squared resid | 51731419 | Schwarz criterion | 16.83650 | |
Log likelihood | -572.2835 | Hannan-Quinn criter. | 16.68160 | |
F-statistic | 0.106123 | Durbin-Watson stat | 1.963996 | |
Prob(F-statistic) | 0.997758 | |||
Como nos muestra el modelo la vp es 0.6607 es menor que el α siendo una hipótesis nula por lo cual no existe relación.
Test de heterocedasticidad
Heteroskedasticity Test: White | ||||
F-statistic | 3.032334 | Prob. F(20,49) | 0.0008 | |
Obs*R-squared | 38.71770 | Prob. Chi-Square(20) | 0.0072 | |
Scaled explained SS | 48.04829 | Prob. Chi-Square(20) | 0.0004 | |
Test Equation: | ||||
Dependent Variable: RESID^2 | ||||
Method: Least Squares | ||||
Date: 09/21/17 Time: 09:13 | ||||
Sample: 2000Q1 2017Q2 | ||||
Included observations: 70 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | -3610712. | 12742562 | -0.283358 | 0.7781 |
C01^2 | -0.024138 | 0.038790 | -0.622258 | 0.5367 |
C01*I | 0.053633 | 0.086495 | 0.620078 | 0.5381 |
C01*G | -0.003054 | 0.139619 | -0.021873 | 0.9826 |
C01*M | 0.006822 | 0.090754 | 0.075172 | 0.9404 |
C01*X | 0.046456 | 0.044967 | 1.033119 | 0.3066 |
C01 | 1031.892 | 1351.944 | 0.763266 | 0.4490 |
I^2 | 0.085083 | 0.088763 | 0.958541 | 0.3425 |
I*G | -0.217766 | 0.215863 | -1.008817 | 0.3180 |
I*M | 0.009622 | 0.107243 | 0.089725 | 0.9289 |
I*X | -0.252428 | 0.090053 | -2.803089 | 0.0072 |
I | 724.3180 | 1711.453 | 0.423218 | 0.6740 |
G^2 | 0.169331 | 0.184374 | 0.918412 | 0.3629 |
G*M | -0.014204 | 0.218789 | -0.064921 | 0.9485 |
G*X | 0.100281 | 0.091141 | 1.100284 | 0.2766 |
G | -2076.911 | 2447.235 | -0.848676 | 0.4002 |
M^2 | -0.024557 | 0.049620 | -0.494903 | 0.6229 |
M*X | 0.034242 | 0.089363 | 0.383173 | 0.7032 |
M | -64.16491 | 1495.908 | -0.042894 | 0.9660 |
X^2 | 0.065694 | 0.025454 | 2.580859 | 0.0129 |
X | -2199.779 | 960.2303 | -2.290887 | 0.0263 |
R-squared | 0.553110 | Mean dependent var | 747875.0 | |
Adjusted R-squared | 0.370706 | S.D. dependent var | 1297988. | |
S.E. of regression | 1029669. | Akaike info criterion | 30.77070 | |
Sum squared resid | 5.20E+13 | Schwarz criterion | 31.44525 | |
Log likelihood | -1055.974 | Hannan-Quinn criter. | 31.03864 | |
F-statistic | 3.032334 | Durbin-Watson stat | 2.182267 | |
Prob(F-statistic) | 0.000806 | |||
es |
No existe problema de heterocedasticidad por que nuestro vp es > mayor que nuestro α.
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