When I run a VECM in Python, for instance,
model = VECM(df, deterministic="ci", seasons=12, k_ar_diff = 12, coint_rank=1) vecm_res = model.fit() vecm_res.summary() I can add seasonal monthly dummy variables with the parameter "seasons". This possibility does not exist in the generic function for VAR models in Python. I would like to do something similar when I run a VAR model, but I don't know how.
https://stackoverflow.com/questions/67249393/seasonality-in-a-var-model-python April 25, 2021 at 11:06AM
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