data(nporg)
> gnp <- na.omit(nporg[, "gnp.r"])
> sp.gnp <- ur.sp(gnp, type="tau", pol.deg=1, signif=0.01)
> summary(sp.gnp)
###################################
# Schmidt-Phillips Unit Root Test #
###################################
Call:
lm(formula = sp.data)
Residuals:
Min 1Q Median 3Q Max
-54.683 -8.176 2.394 11.843 27.884
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.80008 4.18871 -0.430 0.669
y.lagged 0.98538 0.03301 29.849 <2e-16 ***
trend.exp1 0.50203 0.32292 1.555 0.125
---
Signif. codes:
0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 15.75 on 58 degrees of freedom
Multiple R-squared: 0.9926, Adjusted R-squared: 0.9924
F-statistic: 3896 on 2 and 58 DF, p-value: < 2.2e-16
Value of test-statistic is: -1.3732
Critical value for a significance level of 0.01
is: -3.63
0 Comments