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.wouterse@cgiar.org

 


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