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  • How to deal with circular causality

    This is a statistics question rather than a Stata question. But I figured I'd ask anyway, since the experts are here.

    Often in time series and panels, the "dependent" and "causal" variable don't share purely that relationship. There is a fair bit of reverse causality as well. ,e.g.
    x causes y, but then either y causes x directly or y causes z which causes x, and you have a whole cycle going....

    What are some of the ways to deal with this sort of an issue? How does one choose among these methods (if such a choice needs to be made) based on one's data?

    Thank you for your help!

    Stata SE/17.0, Windows 10 Enterprise

  • #2
    Pratap:
    your query falls into the wide fields of endogeneity.
    The best recommendation is to take a look at an advanced econometrics textbook and see how the issue is handled.
    Kind regards,
    Carlo
    (Stata 19.0)

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