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Thread: Negative Binomial Regression Coefficient Interpretation

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    Negative Binomial Regression Coefficient Interpretation




    Hello,

    the results of my negative binomial regression show me a .03 coefficient. Does it mean when I increase my IV by one unit the DV increases by 3% (IRR= 1.03)? Would that mean , when I increase my IV by 10 units the DV increases by 30%? I find it difficult to evaluate whether this is a strong or weak coefficient. Thanks for any advice

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    Re: Negative Binomial Regression Coefficient Interpretation

    It is impossible to say anything without additional information. What kind of variables is there? What's their scale? Und so weiter =)

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    Re: Negative Binomial Regression Coefficient Interpretation

    My DV is the amount of bidders on ebay on product x on day y. My IV is the average amount of bidder on previous days on related product. Both variables are continuous.

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    Re: Negative Binomial Regression Coefficient Interpretation


    There is a nice explanation of these coefficients here: . But, if you want to cut to the chase, on p. 21 it notes that in a negbin model,

    log(\mu_i) = \beta_0 + \beta_1 z_i

    (he uses z where most use x)

    so an increase of one unit in the IV leads to an increase of \beta_i units in the log of the DV.

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