Screening for a Chronic Disease: A Multiple Stage Duration Model with Partial Observability
AbstractThis study develops a discrete multiple state duration model for screen- ing a chronic disease that allows for duration dependence, unmeasured heterogeneity, partial observability of the state and endogenous treat- ment. We study whether screening for diabetes is e¤ective in delaying progression of complications of the lower extremities. Our results show that early diagnoses of diabetes reduces the probabilities of transitioning to a worse disease stage, death or amputation. In particular, decreasing the time screening for the onset of diabetes from every four years to once a year after age 65 saves: 54 lives, 10 amputations, and 89 lower extremity complications of 10,000 individuals by age 80.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of South Florida, Department of Economics in its series Working Papers with number 0213.
Length: 35 pages
Date of creation: Jan 2013
Date of revision:
Contact details of provider:
Postal: 4202 East Fowler Avenue, CPR107, Tampa, Florida, USA 33620-5500
Phone: (813) 974-4252
Fax: (813) 974-6510
Web page: http://economics.usf.edu/
More information through EDIRC
Screening; parital observability; chronic disease;
Find related papers by JEL classification:
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- I12 - Health, Education, and Welfare - - Health - - - Health Production
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.:
- Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
- Bo E. Honoré & Adriana Lleras-Muney, 2006. "Bounds in Competing Risks Models and the War on Cancer," Econometrica, Econometric Society, vol. 74(6), pages 1675-1698, November.
- Liu, Haiyong & Mroz, Thomas A. & van der Klaauw, Wilbert, 2010. "Maternal employment, migration, and child development," Journal of Econometrics, Elsevier, vol. 156(1), pages 212-228, May.
- Jayanta Bhattacharya, 2005. "Specialty Selection and Lifetime Returns to Specialization Within Medicine," Journal of Human Resources, University of Wisconsin Press, vol. 40(1).
- Gabriel A. Picone & Frank A. Sloan & Shin-Yi Chou & Donald H. Taylor, 2003. "Does Higher Hospital Cost Imply Higher Quality of Care?," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 51-62, February.
- Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joshua Wilde).
If references are entirely missing, you can add them using this form.