Analisis de variables econometricas
|Dependent Variable: TACTIV | | |
|Method: Least Squares | | |
|Date: 11/19/10 Time: 11:53 | | |
|Sample: 1993 2007| | |
|Included observations: 15 | | |
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|Variable |Coefficient|Std. Error |t-Statistic |Prob. |
| | | | | |
| | | | | |
|C |59.27365 |4.342719 |13.64897 |0.0000 |
|NUMEMP|-9.47E-05 |2.84E-05 |-3.339297 |0.0059 |
|INCN |2.31E-08 |1.21E-09 |19.01148 |0.0000 |
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|R-squared|0.968092 | Mean dependent var |53.82200 |
|Adjusted R-squared |0.962774 | S.D. dependent var |2.815673 |
|S.E. of regression |0.543259 | Akaike info criterion |1.794394 |
|Sum squared resid |3.541558 | Schwarz criterion |1.936004 ||Log likelihood |-10.45795 | F-statistic |182.0397 |
|Durbin-Watson stat |1.737228 | Prob(F-statistic) |0.000000 |
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Aquí ponemos: el modelo lineal estimado es el siguiente: utilizamos el math type, las variables esperadas estan en la colunmna Coefficient. Gorritos encima ( c= termino independiente, no hay perturbación)
Modelo log-lin:
|Dependent Variable: LOGTACTIV | |
|Method: Least Squares| | |
|Date: 11/19/10 Time: 11:55 | | |
|Sample: 1993 2007 | | |
|Included observations: 15 | | |
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|Variable |Coefficient |Std. Error |t-Statistic |Prob. |
| | | | | |
|| | | | |
|C |4.063770 |0.079665 |51.01082 |0.0000 |
|NUMEMP |-1.60E-06 |5.20E-07 |-3.081928 |0.0095 |
|INCN |4.22E-10 |2.23E-11 |18.97773 |0.0000...
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