BreuschGodfrey Serial Correlation LM Test 00000 Fstatistic 1

Breusch-Godfrey Serial Correlation LM Test 0.0000 F-statistic 18.30818 Prob. F(2,41) 0.0000 21.70100 Prob. Chi- Square (2) Obs R Square Test Equation Dependent Wariable: RESID Method: Least Squares Date: 12 og 15 Time: 01:14 Sample: 1952 1997 Included observations: 46 Presample missing value lagged residuals set to zero Variable Coefficient Std. Error t-Statistic Prob 4.225008 5.350316 0.7898 51 0.4342 G24 0.605292 0.822373 0.736031 0.4659 RI24 2.514499 3.576109 0.703138 0.4859 RESID 1) 0.691708 0.156935 4.407616 0,0001 0.004316 0.166234 0.025963 0.9794 R-squared 6.49E-16 1.471761 Mean dependent var 2.640108 Adjusted R-squared 0.420225 S.D. dependent var S.E. of rear ession 2.010256 Akaike info criterion 4.336 23 Test for autocorrelation using the LM test. Remember that the null hypothesis is that there is no autocorrelation, which will be rejected for a small p-value on any test statistic. Report your conclusion. What are the implications for the properties of your OLS estimators?

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