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py-why / dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
https://www.pywhy.org/dowhy
MIT License
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Treat each covariate as treatment one at a time in double ML #1031

Closed weibinxu86 closed 1 year ago

weibinxu86 commented 1 year ago

I have multiple economic indicators as covariates such as employment rate, gdp growth, average wage, etc. I want to estimate each of them's effect on travel demand. I was thinking of two steps:

  1. Make a DAG out of the data
  2. Make each of the economic indicators one at a time as treatment and the rest as covariates and get the treatment effect using the DAG and Double ML

Just want to make sure if this makes sense or not?

github-actions[bot] commented 1 year ago

This issue is stale because it has been open for 14 days with no activity.

github-actions[bot] commented 1 year ago

This issue was closed because it has been inactive for 7 days since being marked as stale.