Dear All,
Thank you a lot for looking through this post. I am doing a monthly panel regression with fixed effect. My dependent variable is continuous, which is the first difference of fund expense. My aim is to explain fund expense change by some predictors. However, the summary stats give that about 95% of my DV equals to zero, which means that the majority of my sample funds did not change their expense monthly. So my question is: if this is a problem for conducting standard panel regression? I know that zero-inflated poisson model is suitable for count data with lots of zero, but it is not said to fit continuous variables. As zero change in my study is meaningful, so I do not think that I should drop all the observations with zero DV.
Would really appreciate if anyone could help with this!
Thank you a lot for looking through this post. I am doing a monthly panel regression with fixed effect. My dependent variable is continuous, which is the first difference of fund expense. My aim is to explain fund expense change by some predictors. However, the summary stats give that about 95% of my DV equals to zero, which means that the majority of my sample funds did not change their expense monthly. So my question is: if this is a problem for conducting standard panel regression? I know that zero-inflated poisson model is suitable for count data with lots of zero, but it is not said to fit continuous variables. As zero change in my study is meaningful, so I do not think that I should drop all the observations with zero DV.
Would really appreciate if anyone could help with this!
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