Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
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. …
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 …
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 …