Announcement

Collapse
No announcement yet.
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • Interpretation for Vector Error Correction Model with 4 variables and 2 cointegration vectors

    I have 4 time series variables, y, x, z, w,, which are filtered by tsmooth command.
    I tried to do cointegration test for these 4 variables using vecrank command and found that there are 2 cointegration relationships. I tried to do vector error correction model using vce command.
    I got two cointegration vectors below. One cointegration vector is y-2.888z-9.519w+constant=0 and the other cointegration vector is x+1.231z+1.467w+constant=0.

    Click image for larger version

Name:	cointegration.JPG
Views:	2
Size:	39.6 KB
ID:	1683421


    My question is how to calculate the long-run relationship between y and x. I think three methods. The first is to insert z=-(x+1.467w+constant)/1.231 in the second cointegration (_ce2) to the first cointegration equation (_ce1) and get the relationships like this, y=-2.345x+6.077w+constant.

    The second is to insert w=-(x+1.231z+constant)/1.467 in the second cointegration (_ce2) to the first cointegration equation (_ce1) and get the relationships like this, y=-6.487x-5.099z+constant.

    The third is to insert z=-(x+1.467w+constant)/1.231 and w=-(x+1.231z+constant)/1.467 in the second cointegration (_ce2) to the first cointegration equation (_ce1) and get the relationships like this, y=-8.833x—7.987z-3.441w+constant.

    Which one is correct?
    In the first cointegration vector, y=2.888z+9.519w+constant, there is positive relationship between y and z and y and w. However, in the third method, their relationship signs are changed. How do I interpret their relationship?

    Please explain the long -run relationships among four variables with more than 2 cointegration relationships.

    Jaimin Lee
Working...
X