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st: Factor based estimation of discrete probability distribution (OPROBIT?)


From   "hscheule" <hscheule@risconsulting.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Factor based estimation of discrete probability distribution (OPROBIT?)
Date   Tue, 22 Feb 2005 15:46:45 -0500

Hallo,

I am currently trying to model the monthly frequency distribution of
electricity consumption (e.g., 20% of the annual consumption takes place in
February) based on explanatory variables such as temperature, oil prices
etc..

I was thinking that an ordered probit model might work with the month being
the dependent variable. The problem is that my dataset includes historic
relative frequencies (e.g., January: 25%, February: 20%, March: 10%, ,
December:10%) rather than individual observations. Can I use a weighting
function such as pweight to take the different frequencies into account? Do
you think another model type might be more suitable?

Thank you very much for your attention and help.

Harald

Harald Scheule, PhD

The RISConsulting Group
420 Boylston Street
Boston, Massachusetts  02116
Phone (617) 867-9010
Fax (617) 867-0025



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