remove unecessary coefficients from kw94 specifications
peisenha opened this issue · 4 comments
peisenha commented
- Date you used respy: 03/09/19
- respy version used, if any:
- Python version, if any:
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Description
I was simulating the example models kw94_
and noticed that there are several unnecessary covariates specified and their coefficients set to zero. Given the improved flexibility of the model specification, we can remove these now.
What I Did
params, options = rp.get_example_model("kw_94_one", with_data=False)
params
tobiasraabe commented
Yes, we are able to remove the coefficients, but at the same time the coefficients are present in the Monte Carlo estimation in Table 4. Thus, I would not remove them as we had to add them again for the validation exercises.
peisenha commented
We are discussing a different set of coefficients. I agree with you that we
want to keep all coefficients that are estimated during the Monte Carlo
exercise. But why do we need is_minor for example
https://github.com/OpenSourceEconomics/respy/blob/develop/respy/tests/resources/kw_94_one.csv#L41
This only plays a role in KW1997.
…On Tue, Sep 3, 2019 at 8:53 AM Tobias Raabe ***@***.***> wrote:
Yes, we are able to remove the coefficients, but at the same time the
coefficients are present in the Monte Carlo estimation in Table 4. Thus, I
would not remove them as we had to add them again for the validation
exercises.
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*Philipp Eisenhauer*
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tobiasraabe commented
I see. You are right.
tobiasraabe commented
Closed in #249.