Analisis

ANALISIS

summarize om pib tia

Variable | Obs Mean Std. Dev. Min Max
-------------+--------------------------------------------------------
om |56 5399372 255269.5 4188963 5503653
pib | 56 4.79e+07 2.20e+07 1.52e+07 9.99e+07
tia | 56 25.76571 12.09457 12.46 46.69Primer modelo:
Regress om pib tia

Source | SS df MS Number of obs = 56
-------------+------------------------------ F( 2, 53) = 4.90Model | 5.5886e+11 2 2.7943e+11 Prob > F = 0.0112
Residual | 3.0251e+12 53 5.7077e+10 R-squared = 0.1559-------------+------------------------------ Adj R-squared = 0.1241
Total | 3.5839e+12 55 6.5163e+10 Root MSE = 2.4e+05

------------------------------------------------------------------------------om | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
pib | .0049525 .00269381.84 0.072 -.0004506 .0103555
tia | 809.5341 4896.528 0.17 0.869 -9011.657 10630.73
_cons | 5141265 246803 20.83 0.000 46462415636289
------------------------------------------------------------------------------

Este modelo mide el efecto que tienen en la OM el PIB y la TIA

2- modelo sin constante ssc install jb

. sscinstall jb
checking jb consistency and verifying not already installed...
all files already exist and are up to date.

. predict e
(option xb assumed; fitted values)

. edit
- preserve

.jb e
Jarque-Bera normality test: 3.592 Chi(2) .166
Jarque-Bera test for Ho: normality:

. edit
- preserve

.Este modelo mide la normalidad de los errores (asimetría o curtosis de los...