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Private wealth and job exit at older age: a random effects model

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  • Hans G. Bloemen

    (Vrije Universiteit Amsterdam
    Tinbergen Institute
    IZA Bonn
    Netspar)

Abstract

Private wealth holdings are likely to become an increasingly important determinant in the job exit decision of elderly workers. Net wealth may correlate with worker’s characteristics that also determine the exit out of a job. It is therefore important to include a rich set of observed characteristics in an empirical model for retirement in order to measure the (marginal) effect of wealth on the job exit rate. But even with a rich set of regressors, the question remains whether there are time-invariant unobservable worker’s characteristics that affect both net wealth and the job exit rate. We specify a simultaneous equations model for job exit transitions with multiple destinations, net wealth, and the initial labour market state. The job exit rates and the net wealth equation contain random effects. We allow for correlation between the random effects of job exit and net wealth, and the initial labour market state. As instruments for wealth, we use survey information that measures ‘shocks’, like shocks to the household’s financial situation during the previous year. Results show an upward bias in the effect of net liquid wealth on retirement, but a small bias and a positive causal effect if net total wealth (including housing equity and mortgage debt) is used. Both measures of wealth show a significant positive effect on retirement. For an average individual with age 58, an increase in net liquid wealth by 64,000 euros, or in net total wealth by 110,000 euros, raises the exit rate into retirement by 1 % point.

Suggested Citation

  • Hans G. Bloemen, 2016. "Private wealth and job exit at older age: a random effects model," Empirical Economics, Springer, vol. 51(2), pages 763-807, September.
  • Handle: RePEc:spr:empeco:v:51:y:2016:i:2:d:10.1007_s00181-015-1016-x
    DOI: 10.1007/s00181-015-1016-x
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    Cited by:

    1. Jan-Maarten van Sonsbeek & j.m.van.sonsbeek@vu.nl, 2011. "Micro simulations on the effects of ageing-related policy measures: The Social Affairs Department of the Netherlands Ageing and Pensions Model," International Journal of Microsimulation, International Microsimulation Association, vol. 4(1), pages 72-99.
    2. Michele Belloni & Rob Alessie, 2008. "The Importance of Financial Incentives on Retirement Choices," Tinbergen Institute Discussion Papers 08-052/3, Tinbergen Institute.
    3. Rachel Ong & Gavin A Wood & Melek Cigdem, 2022. "Housing wealth, mortgages and Australians’ labour force participation in later life," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 810-833, March.
    4. Maes, Marjan, 2008. "Does the dismantlement of early retirement schemes increase unemployment in Belgium?," Working Papers 2008/57, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    5. Belloni, Michele & Alessie, Rob, 2009. "The importance of financial incentives on retirement choices: New evidence for Italy," Labour Economics, Elsevier, vol. 16(5), pages 578-588, October.
    6. Marjan, MAES, 2008. "Financial and redistributive impact of reforming the old-age pension system in Belgium," Discussion Papers (ECON - Département des Sciences Economiques) 2008040, Université catholique de Louvain, Département des Sciences Economiques.

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    More about this item

    Keywords

    Retirement; Life-cycle models and saving; Models with panel data;
    All these keywords.

    JEL classification:

    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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