You can use the "offset". Just add that option to the zelig() command. You
can input a vector of values which will then be added to the linear
predictor for each observation.
Alternatively, you can use Bayesian multinomial logit, which is available
through Zelig, and then place a prior distribution that is centored around
the value you want and has a very small standard deviation.
Kosuke
-----------------------------------------------------
Kosuke Imai Office: Corwin Hall 041
Assistant Professor Phone: 609-258-6601
Department of Politics eFax: 973-556-1929
Princeton University Email: kimai(a)Princeton.Edu
Princeton, NJ 08544-1012
http://imai.princeton.edu
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On Mon, 19 Dec 2005, Alejandro Buren wrote:
Dear Zelig developers:
I'm fitting multinomial logit models with the "mlogit" model. I'd
like to set a priori the values of some of the parameters of the model and not let the
algorithm estimate them. Is that feasible with Zelig?
Thank you very much,
Alejandro Buren
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