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Retirement Choices in Italy: What an Option Value Model tells us

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  • Michele Belloni

    (CeRP, Collegio Carlo Alberto, Italy)

  • Rob Alessie

    (University of Groningen, Netspar, the Netherlands)

Abstract

Using Italian data, we estimate an option value model to quantify the effectof financial incentives on retirement choices. As far as we know, this isthe first empirical study to estimate the conditional multiple-years modelput forward by Stock and Wise (1990). This implies that we account fordynamic self-selection bias. We also present an extended version of thismodel in which the marginal value of leisure is random.The models yield plausible estimates of the preference parameters. Dynamicself-selection results in a considerable downward bias in the estimate of themarginal utility of leisure. We perform a simulation study to gauge theeffects of a dramatic pension reform. Underestimation of the value of leisuretranslates into sizeable over-prediction of the impact of reform. For thefemale sample, the model is able to predict almost perfectly the age-specifichazard rates. For the male sample, we obtain a good fit. Results for malesshould, however, be interpreted with caution since we are not able to fullycorrect for dynamic self-selection bias.

Suggested Citation

  • Michele Belloni & Rob Alessie, 2010. "Retirement Choices in Italy: What an Option Value Model tells us," Tinbergen Institute Discussion Papers 10-102/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20100102
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    Cited by:

    1. Decoster, André & Capéau, Bart, 2016. "Getting tired of work, or re-tiring in absence of decent job opportunities? Some insights from an estimated Random Utility/Random Opportunity model on Belgian data," EUROMOD Working Papers EM4/16, EUROMOD at the Institute for Social and Economic Research.
    2. Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
    3. Li, Jinjing & O'Donoghue, Cathal, 2011. "Retirement Choice Simulation in Household Settings with Heterogeneous Pension Plans," IZA Discussion Papers 5866, Institute of Labor Economics (IZA).
    4. Denis Fougère & Pierre Gouëdard, 2021. "The effects of financial incentives and disincentives on teachers' retirement decisions: Evidence from the 2003 French pension reform," Working Papers hal-03465859, HAL.
    5. Blundell, R. & French, E. & Tetlow, G., 2016. "Retirement Incentives and Labor Supply," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 457-566, Elsevier.
    6. Peri, Giovanni & Romiti, Agnese & Rossi, Mariacristina, 2015. "Immigrants, domestic labor and women's retirement decisions," Labour Economics, Elsevier, vol. 36(C), pages 18-34.
    7. Agnese Romiti & Maria Cristina Rossi, 2011. "Should we Retire Earlier in order to Look After our Parents? The Role of immigrants," CeRP Working Papers 124, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    8. Peri, Giovanni & Romiti, Agnese & Rossi, Mariacristina, 2013. "Immigrants, Household Production and Women's Retirement," IZA Discussion Papers 7549, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    retirement; option value model; dynamic self-selection; unobserved preference heterogeneity;
    All these keywords.

    JEL classification:

    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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