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st: Binary model with many zeros and few ones

From   Nikolaos Kanellopoulos <>
To   "" <>
Subject   st: Binary model with many zeros and few ones
Date   Fri, 6 Jan 2012 11:15:54 +0000 (GMT)

Dear all,

I have a dataset of around 880 thousand observations and I want to measure as accurately as possible the relationship between certain variables and an event described by a binary variable. My dependent variable has very few ones (around 1.5% of the observations).

My question, and I apologize in advance if this has been asked in the Statalist before, which is the best way to analyse this “zero inflated” binary variable? Is it OK to use a simple probit or logit model? Any suggestions/references are more than welcome.

Kind regards

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