Recent literature has emphasized that estimation of duration models should take account of the sampling theme generating the data, but this cannot be done using the duration modules in currently-available packages. This paper shows that discrete-time duration models can be estimated easily using widely-available, non-specialist, software packages. It focuses on the case where the data are for respondents randomly selected from a stock at one date and then interviewed after some time interval has elapsed, and also shows that these results generalize to other sampling schemes where the likelihood function requires conditioning on survival to a date between sample selection and interview. The findings extend earlier results concerning the easy estimation of duration models which use data from random population samples. Copyright 1995 by Blackwell Publishing Ltd
Download Info
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Volume (Year): 57 (1995) Issue (Month): 1 (February) Pages: 129-38 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.