The Sensitivity Analysis of the Optimal Length of Life -the Numerical Approach-
AbstractThis paper solves the pure consumption Grossman model numerically following dynamic programming method, and undertakes sensitivity analysis of the optimal length of life. This is the first analysis that treats the determination of optimal length of life explicitly with numerical analysis.
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 Institute of Social and Economic Research, Osaka University in its series ISER Discussion Paper with number 0506.
Length: 61 pages
Date of creation: 2000
Date of revision:
MATHEMATICS ; LIFE;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- I10 - Health, Education, and Welfare - - Health - - - General
- I12 - Health, Education, and Welfare - - Health - - - Health Production
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fumiko Matsumoto).
If references are entirely missing, you can add them using this form.