Respected sir,
hoping that you are well.sir, i am trying to run Tado-Yamamoto causality
test with my data. I have three variables. but in running wal.test in R, I
have faced problems (especially in 'terms' arguments). my results have
shown as...
Error in L %*% V : non-conformable arguments
-- kin
dear members, I want to run Toda Yamamoto causal test in my data. I have
gone through the some of the examples. but unable to understand wald.test.
especially the 'term' argument. kindly help me in understand wald.test ??
--
Yadawananda Neog
Research Scholar
Department of Economics
Banaras Hindu
te)
> --
> Sent from my phone. Please excuse my brevity.
>
> On November 21, 2017 12:48:08 AM PST, yadav neog
> wrote:
> >I am working on Johansen cointegration test, using urca and var
> >package.
> >in the selection of var, I have got following results.
>
I am working on Johansen cointegration test, using urca and var package.
in the selection of var, I have got following results.
>VARselect(newd, lag.max = 10,type = "none")
$selection
AIC(n) HQ(n) SC(n) FPE(n)
6 6 6 5
$criteria
1 2
.2, 60.1, 60.7)), .Names = c("year",
> "cnsm", "incm", "with"), row.names = c(NA, -5L), class = "data.frame")
>
>
> On Sat, Sep 16, 2017 at 8:10 AM, yadav neog wrote:
> > oky.. thank you very much to all of you
> >
> >
> 1981-01-01 1981 175.4613 53.6929 60.4980
> 1982-01-01 1982 174.5724 53.4890 60.2358
> 1983-01-01 1983 171.5070 53.2223 60.1047
> 1984-01-01 1984 173.3462 53.2851 60.6946
> 1985-01-01 1985 171.7075 53.1596 60.7598
>
>
> On Sat, Sep 16, 2017 at 9:55 AM, Berend Hasselman wrote:
Sep 2017, at 12:38, yadav neog wrote:
> >
> > hello to all. I am working on macroeconomic data series of India, which
> in
> > a yearly basis. I am unable to convert my data frame into time series.
>
>
> Do you really need to convert your data to time series/xts/zoo?
hello to all. I am working on macroeconomic data series of India, which in
a yearly basis. I am unable to convert my data frame into time series.
kindly help me.
also using zoo and xts packages. but they take only monthly observations.
'data.frame': 30 obs. of 4 variables:
$ year: int 1980 1981
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