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I'm trying to figure out how to perform cointegration tests in R between 2 time series. I'm using po.test from the package tseries and ca.po and ca.jo from the package urca, and I have a couple of questions:

  • If I use PO which is non symmetric and one time series is stationary and the other isn't, I get opposite results. Is this normal? Also related I guess, if I have two time series and don't know yet whether they are stationary, can I use cointegration tests right away or do I need to pretest for unit roots?
  • When I use po.test and ca.po I get very different results, why is this?
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This may help. stats.stackexchange.com/questions/14615/… –  vinux Apr 20 '13 at 3:13
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2 Answers 2

I believe all you need to cope is:

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the following link contains a very detailed and helpful tutorial about how to perform a cointegration test in R (i tried it myself and it works): www.fordham.edu/economics/vinod/R-chicken-eggs-coint.doc‎ in addition it answer your question about necessity of unite-root testing; good luck; Amer.

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The link appears to be dead. –  vanguard2k Jan 13 at 7:51
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