A parsimonious model of subjective life expectancy
Alexander Ludwig and
Alexander Zimper
No 07-65, Papers from Sonderforschungsbreich 504
Abstract:
This paper develops a theoretical model for the formation of subjective beliefs on individual survival expectations. Data from the Health and Retirement Study (HRS) indicate that, on average, young respondents underestimate their true survival probability whereas old respondents overestimate their survival probability. Such subjective beliefs violate the rational expectations paradigm and are also not in line with the predictions of the rational Bayesian learning paradigm. We therefore introduce a model of Bayesian learning which combines rational learning with the possibility that the interpretation of new information is prone to psychological attitudes. We estimate the parameters of our theoretical model by pooling the HRS data. Despite a parsimonious parametrization we find that our model results in a remarkable fit to the average subjective beliefs expressed in the data.
Keywords: subjective survival expectations; ambiguity; Bayesian learning (search for similar items in EconPapers)
JEL-codes: C44 D83 D91 I10 (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://madoc.bib.uni-mannheim.de/2503/1/dp07_65.pdf
Related works:
Journal Article: A parsimonious model of subjective life expectancy (2013) 
Working Paper: A Parsimonious Model of Subjective Life Expectancy (2007) 
Working Paper: A Parsimonious Model of Subjective Life Expectancy (2007) 
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:mnh:spaper:2503
Access Statistics for this paper
More papers in Papers from Sonderforschungsbreich 504 Contact information at EDIRC.
Bibliographic data for series maintained by Katharina Rautenberg ().