Producion

Interpretación económica

Dependent Variable: LOG(PRODUCCION) | |
Method: Least Squares | | |
Date: 03/16/12 Time: 08:41 | | |
Sample (adjusted): 1981 2009 | | |
Includedobservations: 29 after adjustments | |
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Variable | Coefficient | Std. Error | t-Statistic | Prob.   |
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C | -18.11167 | 5.880412 |-3.080000 | 0.0051 |
LOG(CONSUMO) | 0.155559 | 0.076281 | 2.039287 | 0.0526 |
LOG(TCOSECHADAS) | 1.809055 | 0.373926 | 4.838005 | 0.0001 |
LOG(PRECIOS) | 0.890505 | 0.018280 | 48.71457 | 0.0000 |LOG(IPC) | 0.192509 | 0.055779 | 3.451282 | 0.0021 |
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R-squared | 0.994835 |     Mean dependent var | 15.94404 |
Adjusted R-squared | 0.993975 |     S.D. dependentvar | 1.926979 |
S.E. of regression | 0.149578 |     Akaike info criterion | -0.806410 |
Sum squared resid | 0.536967 |     Schwarz criterion | -0.570669 |
Log likelihood | 16.69295 |    Hannan-Quinn criter. | -0.732579 |
F-statistic | 1155.758 |     Durbin-Watson stat | 1.201345 |
Prob(F-statistic) | 0.000000 | | | |
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Modelo: b1 +b2

ObjetivosGenerales:
Conocer por que la producción de maíz no es suficiente en México
Demostrar que variables afectan directa e indirectamente a la producción de maíz

Pruebas estadísticas
Prueba para ladetección de Multicolinelidad
Nuestra primera prueba para la detección de la multicolinealidad es observar si nuestro R2 es alto, con nuestras series originales.

Dependent Variable: PRODUCCION | |Method: Least Squares | | |
Date: 04/13/12 Time: 07:42 | | |
Sample (adjusted): 1981 2009 | | |
Included observations: 29 after adjustments | |
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| | | | |Variable | Coefficient | Std. Error | t-Statistic | Prob.   |
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CONSUMO | 0.025815 | 0.069888 | 0.369383 | 0.7150 |
TCOSECHADAS | 0.608746 | 0.393852 | 1.545622 |...