I am trying to run a Johansen-Procedure in a set of macroeconomic variables (GDP, credit outstanding and industrial production). I am working with them in level.
How should I interpret the following result?
######################
# Johansen-Procedure #
######################
Test type: maximal eigenvalue statistic (lambda max) , without linear trend and constant in cointegration
Eigenvalues (lambda):
[1] 6.999273e-01 3.188663e-01 1.303763e-01 5.099467e-02 -6.157574e-17
Values of teststatistic and critical values of test:
test 10pct 5pct 1pct
r <= 3 | 3.04 7.52 9.24 12.97
r <= 2 | 8.10 13.75 15.67 20.20
r <= 1 | 22.27 19.77 22.00 26.81
r = 0 | 69.82 25.56 28.14 33.24
Eigenvectors, normalised to first column:
(These are the cointegration relations)
pib.l1 pim.l1 pmca.l1 credpf.l1 constant
pib.l1 1.000000 1.0000000 1.0000000 1.0000000 1.0000000
pim.l1 3.837837 1.4510004 -1.8089739 -0.5802552 -0.3392558
pmca.l1 -1.521082 -0.7640412 -1.2570908 -1.3764531 -0.6812554
credpf.l1 -0.334400 -0.5162337 0.9390526 0.3000718 -0.1507749
constant -318.355047 -149.2844982 -37.8967674 -39.9517618 -42.5839669
Weights W:
(This is the loading matrix)
pib.l1 pim.l1 pmca.l1 credpf.l1 constant
pib.d 0.01887772 -0.20780832 -0.02013903 0.03625849 1.835250e-14
pim.d -0.04717478 -0.24886913 -0.01666137 0.03942148 4.796621e-14
pmca.d 0.05566538 -0.03881974 -0.01206322 0.11316466 -9.723535e-15
credpf.d 0.02345645 -0.08972929 -0.20632548 0.12360292 2.783076e-14
My goal is to estimate the best VEC model so I can forecast those variables.
Thank you very much!