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Probabilistic Aging

Type
discussion paper
Date Issued
2007-01-15
Author(s)
Keuschnigg, Christian  
;
Jaag, Christian  
;
Grafenhofer, Dominik
;
Keuschnigg, Mirela  
Abstract
The paper develops an overlapping generations model with probabilistic aging of households. We define age as a set of personal attributes such as earnings potential, health and tastes that are characteristic of a person's position in the life-cycle. In assuming a limited number of different states of age, we separate the concepts of age and time since birth. Agents may retain their age characteristics for several periods before they move with a given probability to another state of age. Different generations that share the same age characteristics are aggregated analytically to a low number of age groups. The probabilistic aging model thus allows for a very parsimonious yet rather accurate approximation of demographic change and of life-cycle differences in earnings, wealth and consumption. Existing classes of overlapping generations models follow as special cases.
Funding(s)
Education, Training, and Labor Market Search  
Language
English
Keywords
Overlapping generations
aging
demographics
life-cycle earnings
HSG Classification
contribution to scientific community
Refereed
No
Publisher
Volkswirtschaftliche Abteilung, Universität St. Gallen, CESifo WP No. 1680
Start page
1
End page
36
Pages
36
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/81093
Subject(s)

other research area

Division(s)

SEPS - School of Econ...

University of St.Gall...

FGN - Institute of Ec...

Eprints ID
16435
File(s)
Thumbnail Image

open.access

Name

PAModel.pdf

Size

366.99 KB

Format

Adobe PDF

Checksum (MD5)

7680bee6034638b6fe001daa26d16df5

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