Generacion UPSA

Page 21

Tabla 4 Modelo MCE de la primera estimación explicativa Dependent Variable: D(LOG(PIB)) Method: Least Squares Date: 05/05/16 Time: 09:50 Sample (adjusted): 1990 2013 Included observations: 24 after adjustments

19

Variable

Coefficient

Std. Error

t-Statistic

Prob.

C

-0.302215

0.104352

-2.896110

0.0100

D(LOG(K))

-0.011685

0.022212

-0.526067

0.6056

D(LOG(PEA))

2.306692

0.588306

3.920902

0.0011

D(LOG(PET))

26.63115

6.903089

3.857860

0.0013

D(LOG(POB))

-19.31438

4.620975

-4.179719

0.0006

D(LOG(GP))

-0.110080

0.063425

-1.735606

0.1007

U10(-1)

-0.836391

0.241431

-3.464299

0.0030

Donde vemos que la corrección de las discrepancias del producto respecto al capital, la PEA, PET, POB y el gasto

público corresponde a 0.83 puntos cada periodo, es decir cada año.

Tabla 5 Segundo modelo explicativo Dependent Variable: LOG(PIB) Method: Least Squares Date: 05/05/16 Time: 17:32 Sample (adjusted): 1996 2013 Included observations: 16 after adjustments Variable

Coefficient

Std. Error

t-Statistic

Prob.

C

75.99968

10.78661

7.045741

0.0001

LOG(K)

-0.045894

0.012027

-3.815938

0.0041

LOG(PET)

-8.308260

1.385896

-5.994865

0.0002

LOG(PEA)

1.246084

0.480168

2.595099

0.0290

LOG(AE)

0.261916

0.084146

3.112643

0.0125

LOG(GP)

-0.123698

0.052430

-2.359294

0.0427

@TREND

0.198747

0.030539

6.507998

0.0001

R-squared

0.999378

Mean dependent var

17.09062

F-statistic

2410.573

Durbin-Watson stat

2.261399

Prob(F-statistic)

0.000000


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