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Probabilistic Aging Author info | Abstract | Publisher info | Download info | Related research | Statistics Dominik Grafenhofer ()
Christian Jaag ()
Christian Keuschnigg ()
Mirela Keuschnigg ()
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registered author(s):
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 close approximation of demographic structure and life-cycle differences in earnings, wealth and consumption. Existing classes of overlapping generations models follow as special cases.
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Paper provided by CESifo GmbH in its series CESifo Working Paper Series with number
CESifo Working Paper No. 1680.
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Date of creation: 2006Date of revision:
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Keywords: overlapping generations aging demographics life-cycle earnings Other versions of this item:
Find related papers by JEL classification: D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
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