This chapter discusses various methods that have been used to estimate structural models of search and survival models. Most of the focus is on using available data, usually on unemployment spell lengths and accepted wage o¤ers, to estimate the parameters of speci…c search models. In...

: The public-sector Vocational Rehabilitation (VR) program is a $3 billion federal-state partnership designed to provide employment-related assistance to persons with disabilities. There is, however, relatively little-known about the long-term efficacy of VR programs. This paper utilizes unique...

This paper uses a nonstructural, ordered discrete choice model to measure the effects of various parent and child characteristics upon the independent caregiving decisions of the adult children of elderly parents sampled in the 1982 and 1984 National Long Term Care Survey (NLTCS). While...

This paper describes a strategic model of bargaining within a family to determine how to care for an elderly parent. We estimate the parameters of the model using data from the National Long-Term Care Survey. We find that the parameter estimates generally make sense and that the model is...

We use advanced survival analysis methods to estimate the parameters affecting the joint distribution of exit dates from psychiatric hospitals and return dates to those hospitals. Data comes from Virginia state psychiatric hospital administrative records. We find that sex, marital status,...

The objective of this research is to develop and estimate an economic model of nonmarital cohabitation, marriage, and divorce that is consistent with current data on the formation and dissolution of relationships. Jovanovic's (1979) theoretical matching model is extended to help explain...

In answers to unique questions from the National Survey of Fam- ilies and Households, people reveal their valuations of their options outside of marriage as well as their beliefs about their spouses?options. We use this data to demonstrate several features of household bargaining. First, we...

We use simulation methods to impute missing data. First we suggest how one can iteratively estimate a large number of parameters associated with a joint normal distribution function fof latent variable associated with the data. We suggest a way to test the joint normality assumption next....