Dear Statalisters,
I have estimated a negative binomial model using STATA's nbreg (I'm
using negbin2). The model features a dependent variable Y, and a
bunch of explanatory variables which includes a policy explanatory
variable X.
X is continuous and can be positive or negative. I want to calculate
the values of X's where Y would equal to zero. Are there examples out
there that I can follow? Are there potential pitfalls I might face?
My plan - daft but I imagine it should ensure that I avoid most
pitfalls - is to keep on increasing / decreasing X's by 1 and use the
revised X's to predict Y_hat. If I try all the possible values (min X
to max X) then I should have a large number of predict Y_hats based on
the altered X's, if the predicted Y_hat is close to zero than the
corresponding altered X's should be the ones I'm shooting for. I'd
love to be given suggestions on what are the smarter methods.
Thank a lot in advance!!
Ada
--
Ada Ma
Research Fellow
Health Economics Research Unit
University of Aberdeen, UK.
http://www.abdn.ac.uk/heru/
Tel: +44 (0) 1224 553863
Fax: +44 (0) 1224 550926
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