January 30th, 2011, 2:56 pm
These are the results. How do I interpret this fascinating code;> summary(ca.jo(cbind(zPEO, zXLE),type = "eigen", K = 2)) 1. 1. Johansen-Procedure # 1.Test type: maximal eigenvalue statistic (lambda max) , with linear trendEigenvalues (lambda):[1] 0.0081571415 0.0006444724Values of teststatistic and critical values of test: test 10pct 5pct 1pctr <= 1 | 1.62 6.50 8.18 11.65r = 0 | 20.57 12.91 14.90 19.19Eigenvectors, normalised to first column:(These are the cointegration relations) zPEO.l2 zXLE.l2zPEO.l2 1.0000000 1.000000zXLE.l2 -0.3484042 -1.749159Weights W:(This is the loading matrix) zPEO.l2 zXLE.l2zPEO.d -0.009555347 0.0003349528zXLE.d 0.044504843 0.0001818289> summary(ca.jo(cbind(zPEO, zXLE),type = "trace", K = 2)) 1. 1. Johansen-Procedure # 1.Test type: trace statistic , with linear trendEigenvalues (lambda):[1] 0.0081571415 0.0006444724Values of teststatistic and critical values of test: test 10pct 5pct 1pctr <= 1 | 1.62 6.50 8.18 11.65r = 0 | 22.19 15.66 17.95 23.52Eigenvectors, normalised to first column:(These are the cointegration relations) zPEO.l2 zXLE.l2zPEO.l2 1.0000000 1.000000zXLE.l2 -0.3484042 -1.749159Weights W:(This is the loading matrix) zPEO.l2 zXLE.l2zPEO.d -0.009555347 0.0003349528zXLE.d 0.044504843 0.0001818289