Hello
I want to analyse a dependent variable (donations) as a function of some variables.
The donations data have lots of zeros because most people donate nothing. Other than zeros, donations can range from 1 to a very high number (continuous data).
What would be the best way to model the above? A inverse hyperbolic sine transform? If so, how to interpret the coefficients? Or is there some specific models to deal with zero-inflated data (non-count)?
Thanks,
Umar
Related Posts with Continuous data with lots of zeros
-lnoffset- and -exposure- options from -glm-Dear All, Good afternoon. I do hope this one finds you well. While challenging myself with the examp…
converting string variables to numericI have a string variable that I want to change to numeric but I can't. Can you help me please stora…
xlabel in bar chart. I want to make the negative x-axis values in the bar chart (attached figure) to positve values, eg …
rangestat errorHi, I am trying to do a regression using -rangestat-, but it gives an error saying "no result for al…
xtdcce2 not allowing me to run the HaumanDear members, I am a user of Stata/15.1 SE. I am employing the Panel ARDL Technique using XTDCCE2 …
Subscribe to:
Post Comments (Atom)
0 Response to Continuous data with lots of zeros
Post a Comment