Comments (9)
Hi @ARCCer !
I recently updated wald_test
method in feols
class, so you should be able to implement F test on OLS regressions(meaning that you can manually do weak IV test by implementing F test on the 1st stage regression).
I'll be adding 1st stage F statistics as a default attribute to the feiv
class soon, but if you have any opinion on any other diagonostic tools related with IV regression, please feel free to comment on the issue #543! Thanks!
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Thanks for letting us know. I'm actually working on this and trying to raise a new issue regarding this, as the diagnostic tools in the first stage regression are absent in the current package. Stay tuned for our next update!
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well , I check the code and the example. So, I can get the F-test results and the related p-value by below codes: fit.wald_test(R=R, distribution="F")
f_stat = fit._f_statistic
p_stat = fit._p_value
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Yeah, thanks for the response. There are some different tests in IV related methods or 2SLS related issues, such as the Hausman test, over-identification test, I hope we can add these tests to make Pyfixest more comprehensive in IV area
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We actually already have an open issue for this #280 and @Vksingh306 has offered to pick it up =)
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yes, that's great. I hope this package can be better to catch up STATA one day and really thanks to all the contributors for the priceless dedication
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Great thanks for the contribution. While the document notes that we should not directly instantiate Feiv(), but Feols(), so I can get the F-test results with the defined function: _F_stat? or need other settings?
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Yea, exactly, that's the intended use =)we're also working on automatically computing the F test for the first stage when an IV model is run.
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Thanks for the comment @ARCCer ! In the current PR, I updated robust F statistics(robust to heteorskedasticity and clusteres) and effective F by Olea and Pflueger, which will be updated soon. I will also develop the tests you suggested as the default setting in my next iteration!
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Related Issues (20)
- Wildboottest: Incorrect Initiation of R vector -> incorrect results
- Contributing Documentation does not show full code blocks HOT 2
- Contributing Documentation Formatting Issue
- Extract covariance matrix from regression object HOT 8
- narwhals = Pandas + polars + ... HOT 5
- Helping demean() Fail Gracefully - Add a'fixef_iter' argument to feols() and fepois() HOT 1
- Examples Layout Docs HOT 3
- Feiv : More diagnostic tests on the first stage regression need to be added HOT 2
- Add note on `wald_test` method to `quickstart` (or even a new notebook)? HOT 2
- Add "lean" argument to `feols()` and `fepois()` HOT 4
- Publish `pyfixest` on conda
- Add `solver` argument to `feols()`, `fepois()` APIs HOT 5
- Support for weights as an optional parameter for did2s? HOT 4
- Add benchmarks against `linearmodels` and `fastreg` HOT 8
- Add default IV Diagnostics to `pf.summary()` and `pf.etable()` HOT 1
- installing via pip broken by stargazer HOT 4
- Adding Standard Error of Prediction HOT 6
- BUG: coefplot() and iplot() show only point estimates, no confidence intervals HOT 1
- Implementing outcome plot in panelview()
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