Maximum likelihood estimation of a binary choice model with random coefficients of unknown distribution

1998 ◽  
Vol 86 (2) ◽  
pp. 269-295 ◽  
Author(s):  
Hidehiko Ichimura ◽  
T.Scott Thompson
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Choice Model ◽  
Likelihood Estimation ◽  
Random Coefficients ◽  
Binary Choice ◽  
Unknown Distribution ◽  
Binary Choice Model

An Analysis of Migratory Systems: 2. Operational Framework

1986 ◽  
Vol 18 (8) ◽  
pp. 1039-1060 ◽  
Author(s):  
P Kanaroglou ◽  
K-L Liaw ◽  
Y Y Papageorgiou
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Utility Theory ◽  
Transition Probabilities ◽  
Choice Model ◽  
Likelihood Estimation ◽  
Human Behaviour ◽  
Population System

This is the second in a series of three interrelated papers which aim to combine evolutionary migration models with stochastic utility theory. The first paper dealt with migratory dynamics. Here the details are given of a choice model, established by McFadden, which can be used in conjunction with migratory dynamics thus providing an explicit link between the macroproperties of the population system and human behaviour. First, the structure of transition probabilities is derived under a two-level decision to migrate. An argument is then given about the empirical form of these probabilities, and the discussion closes with a method which can be used for their maximum likelihood estimation.

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