Abstract:
:I have developed a random effects probit model in which the distribution of the random intercept is approximated by a discrete density. Monte Carlo results show that only three to four points of support are required for the discrete density to closely mimic normal and chi-squared densities and provide unbiased estimates of the structural parameters and the variance of the random intercept. The empirical application shows that both observed family characteristics and unobserved family-level heterogeneity are important determinants of the demand for preventive care.
journal_name
Health Econjournal_title
Health economicsauthors
Deb Pdoi
10.1002/hec.627keywords:
subject
Has Abstractpub_date
2001-07-01 00:00:00pages
371-83issue
5eissn
1057-9230issn
1099-1050journal_volume
10pub_type
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