Cox Regression with Alternative Concepts of Waiting Time: The New Orleans Yellow Fever Epidemic of 1853
Insan Tunali and
Jonathan Pritchett ()
Journal of Applied Econometrics, 1997, vol. 12, issue 1, 1-25
Abstract:
Event data can often be analysed using different concepts of waiting time. Our application offers three choices: calendar-time, age, and duration of residence in New Orleans. We exploit the semi-parametric features of Cox regression and estimate parallel specifications in which mortality risk is treated as an arbitrary function of one of the three alternative time measures, while the remaining two enter the hazard parametrically. Comparisons of the parameter estimates with the corresponding estimates of the baseline hazards from the crux of a simple specification checking procedure. In our formal treatment we rely on Aalen's Multiplicative Intensity formulation and tackle complications such as left-truncation, functional form specification, and choice-based sampling.
Date: 1997
References: Add references at CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://qed.econ.queensu.ca:80/jae/1997-v12.1/ Supporting data files and programs (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jae:japmet:v:12:y:1997:i:1:p:1-25
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().