[R-SIG-Finance] FW: VECM problem with exogenous components
Pfaff, Bernhard Dr.
Bernhard_Pfaff at fra.invesco.com
Wed Mar 31 11:33:02 CEST 2010
Dear Gautier,
standard errors, t-values and marginal signficnance levels
are not implmenented for a VECM in the package urca.
However, you can transform your VECM into its level-VAR
form (see vec2var() in package vars) and can obtain the
desired numbers by applying the summary method.
Best,
Bernhard
|>
|> |> -----Original Message-----
|> |> From: r-sig-finance-bounces at stat.math.ethz.ch
|> |> [mailto:r-sig-finance-bounces at stat.math.ethz.ch] On Behalf
|> |> Of Gautier RENAULT
|> |> Sent: Wednesday, March 31, 2010 10:58 AM
|> |> To: r-sig-finance at stat.math.ethz.ch
|> |> Subject: [R-SIG-Finance] VECM problem with exogenous
|> components
|> |>
|> |> Dear all,
|> |>
|> |> I deal with a econometrics problem in R.
|> |>
|> |> My final goal is to estimate a vecm (three components)
|> |> imposing combined
|> |> restrictions on two components in alpha matrix.
|> |>
|> |> I have no problem to :
|> |> solve the problem using ca.jo() and cajorls() when I treat
|> |> all components as
|> |> endogenous
|> |> test exogeneity of one or more components
|> |>
|> |> but how can I get standard errors, t values,
|> associated probs for :
|> |> the cointegration equation ?
|> |> the estimated value of the error correction term ?
|> |> the lagged differences ?
|> |>
|> |> This is my R code :
|> |>
|> |> y.mat<-data.frame(y1,y2,y3)
|> |> vecm<-ca.jo(y.mat, type="trace", ecdet= "const", K=2,
|> |> spec="transitory")
|> |> vecm.result<-cajorls(vecm, r=1)
|> |> summary(vecm.result$rlm)
|> |>
|> |> # testing weak exogeneity
|> |>
|> |> A<-matrix(c(1,0,0), nrow=3, ncol=1) # restriction
|> |> matrix (y2, y3
|> |> :treated as exogenous)
|> |> vecm.restriction<-alrtest(vecm, A, r=1)
|> |> summary(vecm.restriction)
|> |>
|> |> Could someone help ?
|> |>
|> |> Gautier
|> |>
|> |> [[alternative HTML version deleted]]
|> |>
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|>
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