search for: cajorl

Hi all R users, I'm finding it a bit hard to interpret the output from the cajorls and VECM function. I'm trying to model a VECM model with cointegration rank of 6, and therefore I get the varibles ECT1, ECT2... ECT6 in my output. Are these representing the estimates for my loading matrix or also denoted the "alpha" matrix? Thanks in advanced Emil -- View this...

...andard errors of alpha and beta when using "ca.jo" to test cointergration? In the paper by Bernhard Pfaff and Kronberg im Taunus “VAR, SVAR and SVEC Models: Implementation Within R Package” pp.24-25. The standard errors are listed on the table 5 following the code: R> vecm.r1 <- cajorls(vecm, r = 1) I tried this in my Mac R, but failed. Thanks. -- Best Regards Walter an ACCA Affiliate (Association of Chartered Certified Accountants) I COME FROM CHINA 我有一所房子，面朝大海，春暖花开 [[alternative HTML version deleted]]

Hi,I obtained the ect term from cajorls in urca. I found a result that would like to obtain some explanation here. My setting is that I have 2 variate time series. I use ca.jo to perform Johansen test. 1. I found that sometimes, in the case where the ca.jo test statistics suggest that I have 1 relationship. After I investigate the ect o...

Dear Sir/Madam, I have used ca.jo in urca package to identify the cointegration and cajorls to estimate the vecm. Althought both return the coefficients for long run relationship (or ect1 in cajorls), I am unable to find the standard error and t statistics. I spend some weeks to search around. I did find some similar enquiries before and answer provided Prof. Pfaff is to use vec2var. H...

...in the following practice: #OLS retricted VECM regression data(denmark) sjd <- denmark[, c("LRM", "LRY", "IBO", "IDE")] sjd.vecm<- ca.jo(sjd, ecdet = "const", type="eigen", K=2, spec="longrun", season=4) sjd.vecm.rls<-cajorls(sjd.vecm,r=1) summary(sjd.vecm.rls$rlm) sjd.vecm.rls$beta Response LRM.d : Call: lm(formula = substitute(LRM.d), data = data.mat) Residuals: Min 1Q Median 3Q Max -0.027598 -0.012836 -0.003395 0.015523 0.056034 Coefficients: Estimate Std. Error t value Pr(...

Hi, I have a couple of questions about johansen's test, in general: 1. I was able to obtain error correction term (ect) from cajorls$rlm$model properly. According the my ca.jo object on 2-variate series, the test suggests that the integration rank is 1. Which means that my ect should be stationary. However, I did test stationariy on ect and it shows non-stationarity and my acf still shows high and long autocorrelation. How shou...

Dear R users; I'm using ca.jo for a VECM model. Is there a way that I can get sd/p-value to see whether coefficients estimated are statistical significant? Thank you Yours, Yihsu [[alternative HTML version deleted]]

Hi, I am trying to estimate a VECM without constant using the following code: data(finland) sjf <- finland sjf.reg<-ca.jo(sjf, type = c("eigen"), ecdet = c("none"), K = 2,spec=c("transitory"), season = NULL, dumvar = NULL) cajools(sjf.reg) While the cointegration test does not use a constant, it is used in the cajools which I do not want. I am sure I am

Hello!   I estimate vector error correction model (vecm) model. I have only one cointegratio relationship. I write :   joh.vecm.rls <- cajorls(joh.vecm, r=1) The output estimation is : Call: lm(formula = substitute(form1), data = data.mat) Coefficients:                up.d            expl.d        upd.d           r.d      ect1      -1.34e-01   4.55e+02   6.91e+00   2.43e+03 constant  -4.90e+01   1.82e+05   2.46e+03   9.54e+05 up.dl1   ...

Hello, I am using urca package to run cointegration. I would like to find the standard error in the (normalized, Johansen) cointegration relationship. How can I do it? As far as I know, The function "cajorls" in the "urca" package provides the normalized cointegrating relationships. Nevertheless, it does not provide the standard deviation of the coefficient for each variable in the relationship. E-View does it. If anyone can provide the info or some example codes regarding this iss...