This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: 0.32192 0.87 0.3892 : The coefficient of unem is 0.27981, and it is not significant (pvalue: 0.3892). 4. Use autoreg procedure in SAS to refit the model by MLE, allowing AR(1) error. What is the coefficient of unem ? Is it significant? The AUTOREG Procedure Maximum Likelihood Estimates SSE 241.740564 DFE 46 MSE 5.25523 Root MSE 2.29243 SBC 229.844245 AIC 224.168785 MAE 1.50069103 AICC 224.702118 MAPE 74.8230375 Regress RSquare 0.0970 DurbinWatson 1.9364 Total RSquare 0.5029 Standard Approx Variable DF Estimate Error t Value Pr > t Intercept 1 8.2318 2.3553 3.50 0.0011 unem 1 0.7048 0.3485 2.02 0.0490 AR1 1 0.7721 0.1005 7.68 <.0001 Autoregressive parameters assumed given. Standard Approx Variable DF Estimate Error t Value Pr > t Intercept 1 8.2318 2.2290 3.69 0.0006 unem 1 0.7048 0.3170 2.22 0.0312 : The coefficient of unem is 0.7048 and significant at 5% significance level....
View
Full
Document
This note was uploaded on 02/21/2012 for the course ECON 500 taught by Professor Professor during the Fall '10 term at SUNY Buffalo.
 Fall '10
 professor

Click to edit the document details