Dear all,
I am trying to implement Simar & Wilson's (2007) second algorithm and
have the following question: If I use a truncated regression on the m<n
observations, how do I get fitted values for all n observations, instead
of for m observations, which is what the command fitted returns; I would
need these to construct the left-truncation needed to draw n random
deviates.
Thanks for your help,
Fleur
Fleur Wouterse, Ph.D.
Post-Doctoral Fellow
IFPRI-Dakar
Immeuble Ousseynou Thiam Gueye
Rue de Thies
Point E, BP 15702 CP 12524
Dakar Fann
Senegal
Phone: +221 33 869 3986
Email: f.woute...@cgiar.org
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