py-why / py-why/EconML

Recover linear regression results

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Description

I would like to know if it is possible to recover the estimates of a simple linear regression.
I would have thought that fitting a LinearDML algorithm with (1) LinearRegression() as the model_y and model_t and (2) setting cv = 1, would reproduce the OLS estimates.
Is this correct?
Thanks

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Research direction

The issue mentions LinearDML, LinearRegression, model_y, model_t, and cv=1; start by reading the LinearDML API and fitting behavior, then compare its outputs with an OLS fit on a small example. Done means documenting whether the estimates can be recovered and clarifying the supported approach if they cannot.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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