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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.

3 votes
1 answer
2k views

Omitted Variable Bias in a VAR-Model

I am concerned about the following issue. One big problem in OLS regression is omitted variable bias, which is normally reflected with explanatory variables being collinear with the error term. Now, …
Raphael's user avatar
  • 53
1 vote
0 answers
987 views

Comparing Impulse Response Functions

I am estimating a structural VAR Model in levels with $p=3$ and plot orthogonalised impulse response functions. A structural VAR with p lags (sometimes abbreviated SVAR) is $B_0 y_t = c_0 + B_1 y_{ …
Raphael's user avatar
  • 53
1 vote
0 answers
1k views

VAR model for a short time series yields autocorrelated residuals

I am currently conducting an analysis on a small sample ($n=41$) first-difference VAR. The underlying data is only available in yearly terms so there is unfortunately no possibility to increase sample …
Raphael's user avatar
  • 53