problems with johansen [order of integration, and lag length
Posted: Sat Oct 18, 2014 6:32 am
hi, i am doing johansen cointegration procedure on several different series, but i have encountered some problems, and i just wanted to double-check here if anyone knows the answer. i appreciate any help.
1. in determining the order of integration of each series, in doing the augmented dickey-fuller test, i conclude that some series has the specification of a random walk + drift + deterministic trend, therefore differencing alone won't make it stationary, but i also have to de-trend. what does this mean for the order of integration? is the series considered I(1), or not, since differencing alone won't make it stationary [however, when i did do the ADF test on some of these series, the first difference was stationary, so maybe the deterministic part is not so strong, i don't know?]
2. second, in selecting the lag length, even after 10 lags i find that there is serial correlation after lags 10. is this ok, or should i select even higher? for my model, from experimenting, it seems i have to go up to 13 lags to remove all serial correlation for 20 lagged values of each series- is 13 lags too much, or should i just use 10?
thank you for any help, apologies if my questions are simple, i just felt a bit stuck,
1. in determining the order of integration of each series, in doing the augmented dickey-fuller test, i conclude that some series has the specification of a random walk + drift + deterministic trend, therefore differencing alone won't make it stationary, but i also have to de-trend. what does this mean for the order of integration? is the series considered I(1), or not, since differencing alone won't make it stationary [however, when i did do the ADF test on some of these series, the first difference was stationary, so maybe the deterministic part is not so strong, i don't know?]
2. second, in selecting the lag length, even after 10 lags i find that there is serial correlation after lags 10. is this ok, or should i select even higher? for my model, from experimenting, it seems i have to go up to 13 lags to remove all serial correlation for 20 lagged values of each series- is 13 lags too much, or should i just use 10?
thank you for any help, apologies if my questions are simple, i just felt a bit stuck,