Reg ln Con expend L. ln Con expend ln Dis Income ln Wealth Real interest rate gdp

. reg ln_Con_expend L.ln_Con_expend ln_Dis_Income ln_Wealth Real_interest_rate GDP

> Inf_rate

Source | SS df MS Number of obs = 108

-------------+---------------------------------- F(6, 101) > 99999.00
Model | 69.9438395 6 11.6573066 Prob > F = 0.0000
Residual | .003647938 101 .000036118 R-squared = 0.9999
-------------+---------------------------------- Adj R-squared = 0.9999
Total | 69.9474875 107 .653714836 Root MSE = .00601

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ln_Con_expend | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-----------------+----------------------------------------------------------------
ln_Con_expend |
L1. | .752568 .04491 16.76 0.000 .6634786 .8416574
|
ln_Dis_Income | .2394437 .0411504 5.82 0.000 .1578124 .3210749
ln_Wealth | -.0001495 .0008109 -0.18 0.854 -.0017581 .001459
Real_interest_~e | 5.47e-10 5.97e-10 0.92 0.361 -6.37e-10 1.73e-09
GDP | 1.36e-06 9.35e-07 1.46 0.148 -4.94e-07 3.22e-06
Inf_rate | .0074192 .0022456 3.30 0.001 .0029644 .0118739
_cons | .0013653 .0185889 0.07 0.942 -.0355101 .0382407
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. estat bgodfrey, lags(1,2,3,4,5,6,7,8,9,10,11,12)

Number of gaps in sample: 7

Breusch-Godfrey LM test for autocorrelation

---------------------------------------------------------------------------
lags(p) | chi2 df Prob > chi2
-------------+-------------------------------------------------------------
1 | 0.721 1 0.3957
2 | 4.715 2 0.0947
3 | 4.715 3 0.1939
4 | 5.810 4 0.2138
5 | 7.336 5 0.1968
6 | 7.617 6 0.2675
7 | 7.638 7 0.3656
8 | 9.439 8 0.3066
9 | 9.526 9 0.3902
10 | 9.906 10 0.4488
11 | 9.906 11 0.5388
12 | 12.963 12 0.3718
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