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Probability Feedback in a Recursive System of Logit Models: Estimation

Vuong, Quang H. (1982) Probability Feedback in a Recursive System of Logit Models: Estimation. Social Science Working Paper, 444. California Institute of Technology , Pasadena, CA. (Unpublished) http://resolver.caltech.edu/CaltechAUTHORS:20171002-133455587

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Abstract

Some estimation procedures are considered for the recursive system with probability feedbacks introduced in Q. H. Vuong (1982b) for the case in which the probability models are logit models. The asymptotic distributions of the two-step estimator, of the estimator obtained at each iteration of a natural iterative sequential procedure, and of the estimator obtained at each iteration of an efficient iterative sequential procedure are derived. It is shown that, upon convergence, this latter procedure produces an asymptotically efficient estimator.


Item Type:Report or Paper (Working Paper)
Additional Information:I am much grateful to David Grether for his comments and encouragement. I have also benefited from stimulating discussions with John Link and Marc Nerlove.
Group:Social Science Working Papers
Record Number:CaltechAUTHORS:20171002-133455587
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20171002-133455587
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:81955
Collection:CaltechAUTHORS
Deposited By: Jacquelyn Bussone
Deposited On:04 Oct 2017 19:47
Last Modified:04 Oct 2017 19:47

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