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Probabilistic Aging

Author

Listed:
  • Dominik Grafenhofer
  • Christian Jaag
  • Christian Keuschnigg
  • Mirela Keuschnigg

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 close approximation of demographic structure and life-cycle differences in earnings, wealth and consumption. Existing classes of overlapping generations models follow as special cases.

Suggested Citation

  • Dominik Grafenhofer & Christian Jaag & Christian Keuschnigg & Mirela Keuschnigg, 2006. "Probabilistic Aging," CESifo Working Paper Series 1680, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_1680
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    Cited by:

    1. Daniel Baksa & Zsuzsa Munkacsi, 2016. "Aging, (Pension) Reforms and the Shadow Economy in Southern Europe," Bank of Lithuania Working Paper Series 32, Bank of Lithuania.
    2. Pim B. Kastelein & Ward E. Romp, 2018. "Pension Fund Restoration Policy In General Equilibrium," Tinbergen Institute Discussion Papers 18-053/VI, Tinbergen Institute, revised 06 Jul 2018.
    3. Heinrich Hock & David Weil, 2012. "On the dynamics of the age structure, dependency, and consumption," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 1019-1043, July.
    4. Christian Jaag & Christian Keuschnigg & Mirela Keuschnigg, 2010. "Pension reform, retirement, and life-cycle unemployment," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 17(5), pages 556-585, October.
    5. Christian Jaag, 2005. "The Role of Endogenous Skill Choice in an Aging Economy," Public Economics 0505005, University Library of Munich, Germany.
    6. Daniel Baksa & Zsuzsa Munkacsi, 2016. "A Detailed Description of OGRE, the OLG Model," Bank of Lithuania Working Paper Series 31, Bank of Lithuania.
    7. Kristina Karagyozova-Markova, 2016. "Evaluating the effects of population ageing on long-term growth and pension system sustainability in Bulgaria through an overlapping generations model," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 59-78.
    8. Dominik Grafenhofer & Christian Jaag & Christian Keuschnigg & Mirela Keuschnigg, 2007. "Economic ageing and demographic change," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 5(1), pages 133-165.
    9. Kilponen, Juha & Kinnunen, Helvi & Ripatti, Antti, 2006. "Population ageing in a small open economy : some policy experiments with a tractable general equilibrium model," Research Discussion Papers 28/2006, Bank of Finland.
    10. Daniel Baksa & Mihnea Constantinescu & Zsuzsa Munkacsi, 2016. "Aging, Informality and Public Policies in a Small Open Economy," Bank of Lithuania Discussion Paper Series 2, Bank of Lithuania.

    More about this item

    Keywords

    overlapping generations; aging; demographics; life-cycle earnings;

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • 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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