In:
Model Assisted Statistics and Applications, IOS Press, Vol. 15, No. 4 ( 2020-12-25), p. 315-322
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
1574-1699
,
1875-9068
Language:
Unknown
Publisher:
IOS Press
Publication Date:
2020
detail.hit.zdb_id:
2222920-6
detail.hit.zdb_id:
2365356-5
