A binary choice model with partial observability for panel data
Keyword(s):
We consider a panel model with a binary response variable that is a product of two unobservable factors, each determined by a separate binary choice equation. One of these factors is assumed to be time-invariant and may be interpreted as a latent class indicator. A simulation study shows that maximum likelihood estimates from even the shortest panel are much more reliable than those obtained from a cross-section. As an illustrative example, the model is applied to Russian Longitudinal Monitoring Survey data to estimate a proportion of the non-employed population who are participating in job search.
2010 ◽
Vol 62
(1-2)
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pp. 47-70
2017 ◽
Vol 27
◽
pp. 253-260
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Keyword(s):
1998 ◽
Vol 86
(2)
◽
pp. 269-295
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