Per Box-Steffensmeier and Jones's recommendation for discrete-time  
data (Event History Modeling), why not use a conditional logistic  
regression model with stratification on duration? This approach would  
be really flexible with regard to the number of observations per panel.

-Jay

Sent from my iPhone

On Jan 17, 2010, at 6:14 AM, Robert Johns <[log in to unmask]>  
wrote:

> Dear all,
>
> I've got a query about the Cox hazard models used by Gartner (APSR,  
> 102:1 (2008), pp. 95-106).  He runs a panel experiment in which  
> monthly casualty rates during a conflict are manipulated, and the  
> hazard models gauge the impact of these manipulations on the  
> duration of public support for military action.  Gartner's panel has  
> ten waves, i.e. ten opportunities to choose between leaving the  
> troops in or bringing them home.  In planning a similar design, I  
> was wondering about the amount of flexibility available concerning  
> this number of waves.  I guess that, under the model's assumptions,  
> duration is a continuous variable, but obviously it is necessarily  
> discrete in this kind of design.  So can anyone suggest a rough rule  
> on how many time periods would be needed to estimate such hazard  
> models accurately?
>
> Many thanks,
>
> Rob Johns.
>
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