Effects of Retirement and Lifetime Earnings Profile on Health Investment
Hernan Bejarano,
Hillard Kaplan and
Stephen Rassenti
Working Papers from Chapman University, Economic Science Institute
Abstract:
We report the results of experiments where in each period of her lifetime the subject must choose how to allocate real earned income between health investment and life enjoyment in each period of a nine-period life in order to maximize aggregate life enjoyment. The key dynamic optimization challenge of the experiment to subjects derives from the fact that investments in health affect future income, but detract from current consumption. Our experimental results show that subjects were successful at reproducing the qualitative predictions of the theoretical model, investing more in health in the absence of retirement and with increasing income profiles. However, we did observe a systematic bias in health investments, being less than optimal in early periods and greater than optimal in late periods of life. We also found a significant effect due to social groupings. These results highlight the potential of lab experiments as a method to study health decisions and understand their determinants.
Keywords: experimental economics; behavioral economics; health economics; dynamic programming (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-age, nep-exp, nep-hea and nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.chapman.edu/research-and-institutions/e ... an-rassenti-2014.pdf
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:chu:wpaper:14-21
Access Statistics for this paper
More papers in Working Papers from Chapman University, Economic Science Institute Contact information at EDIRC.
Bibliographic data for series maintained by Megan Luetje ().