Improving Prevention Compliance through Appropriate Incentives: Theoretical Modelling and Empirical Evidence
AbstractThis paper explores the effects of insurance parameters and complementary information environment on the patient's primary prevention activity. The theoretical model is based on a principal-agent setting in which the patient acts as an agent in deciding about his prevention efforts. The insurer chooses the coverage level and therefore the level of patient's cost sharing and decides on his monitoring activities. The empirical analysis looks at the patient's prevention decision in the case of smoking. Using a hazard model in discrete time, the decision to change behaviour depends on health status, education, age and working time but not on the insurance system.
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 InfoArticle provided by Swiss Society of Economics and Statistics (SSES) in its journal Swiss Journal of Economics and Statistics.
Volume (Year): 147 (2011)
Issue (Month): I (March)
Contact details of provider:
Postal: c/o SNB/BNS, Börsenstrasse 15, PO Box 2800, CH-8022 Zürich
Phone: +41 (0)44 631 32 34
Fax: +41 (0)44 631 39 01
Web page: http://www.sjes.ch
More information through EDIRC
incentives in prevention; information distribution; hazard model;
Find related papers by JEL classification:
- I12 - Health, Education, and Welfare - - Health - - - Health Production
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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: (Peter Steiner).
If references are entirely missing, you can add them using this form.