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RE: st: Hurdle model


From   Neil Hewitt <[email protected]>
To   "[email protected]" <[email protected]>
Subject   RE: st: Hurdle model
Date   Fri, 13 Sep 2013 10:04:16 +0100

Thanks Jeph,

I have used a hurdle model not a zero inflated model as I believe all my zeros are real and not structural. All individuals in my panel have the same chronic condition, the outcome is related to that chronic condition and there is little/no chance of them having an event without it being recorded.

That is how I understand the difference between the two though will not profess to be an expert.

Thanks,

Neil 

-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Jeph Herrin
Sent: 13 September 2013 09:51
To: [email protected]
Subject: Re: st: Hurdle model

It sounds like what you have is a "zero inflated Poisson" model, not a hurdle model. Either way, I don't think there is a panel data version available (official or user written) for either in Stata. Almost certainly not for the hurdle model
- I needed to estimate some hurdle models for panel data recently and dug around a lot before finally/reluctantly running them in SAS.

Jeph



On 9/13/2013 4:19 AM, Neil Hewitt wrote:
> Dear Statalist users,
>
> Have any of you fitted a hurdle model to panel data?
>
> I know there are user written commands for non panel data and have seen applications of it to panel data in academic journals.
>
> They have all used a non zero count model telling me that each 
> individual starts each year in the panel in the dichotomous model. 
> This does not make sense with my data as I am looking at individuals 
> with a chronic disease and my outcome are hospital admissions for 
> serious conditions. Hence once they have had an event I have retained 
> them in the count model so my count model contains zeros. The example 
> below illustrates it
>
> ID	Year	Event(Binary)	Hurdle(Count)
> 1	1	0			.
> 1	2	0			.
> 1	3	0			.
> 2	1	1			1
> 2	2	.			0
> 2	3	.			2
>
> So once they have crossed the hurdle I have counted them in the count model and removed them from the binary model. Has anyone seen the hurdle model applied in such a way and does it seem reasonable?
>
> Many thanks for your time and hopefully your help/opinion.
>
> Neil
>
>
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