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Vector Auto-Regression, a multivariate time-series model / method. Under VAR, each univariate time-series is a linear combination of its own previous values and the previous values of the other series.

0 votes
1 answer
376 views

Why is R returning NA coefficient-values on dummy variables in VAR-model?

When estimating this VAR-model the returned coefficients on BNP.min4 and INT.min4 are NA, which I do not understand. My intuition is that there should not be any collinearity between these variables. …
MisterButter's user avatar
2 votes
1 answer
6k views

Optimal lag-selection in VAR-model in R

Having troubles with the lag specification of a VAR-model. The purpose of the model is to measure orthogonal impulse/response function of oil price shocks on macroeconomic variables, such as GDP-growt …
MisterButter's user avatar
2 votes
0 answers
401 views

What happens when we model outliers as dummy's in a VAR-system?

I am wondering what is going on "under the hood" or intuitively of what the implication of modelling outliers as dummy's in a VAR-model. To make this question more clear I will provide an example. L …
MisterButter's user avatar