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  • How to correctly interrupt the moderating effect in a model

    Dear all
    I have three variables: New.gw is my x and log_spread is my Y and the moderator is a legal origin dummy ( one for common law countries and zero for civil law countries)
    As you can see the interaction term is not significant so does that mean there is no effect in civil law countries, given that the moderator is significant? how would you interrupt these results differently?
    -------------------------------------------------------------------------------
    | Robust
    log_loanspr~d | Coefficient std. err. t P>|t| [95% conf. interval]
    --------------+----------------------------------------------------------------
    new_gw | .7050869 .2662851 2.65 0.009 .1809282 1.229246
    1.eng | .6907643 .3006533 2.30 0.022 .0989547 1.282574
    |
    eng#c.new_gw |
    1 | -.4266118 .3087458 -1.38 0.168 -1.034351 .1811271
    Thanks for your help.

  • #2
    The effect of new.gw does not vary significantly across various levels of legal origin.

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    • #3
      Thanks Maxence for your input.

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