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Methodological Approach of a Multiple State Actuarial Model for the Married - Widower case for the assessment of retirement and widowhood pensions

Author

Listed:
  • Estefanía Alaminos

    (Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona)

  • Mercedes Ayuso

    (Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona)

Abstract

In this document we present the methodological approach for a Multiple State Actuarial Model in the marital status context. We obtain transition probabilities between married – widower statuses for an individual aged x. Such probabilities are used in the assessment of the expected value for payments related to concurrence of pensions for people aged over 64.

Suggested Citation

  • Estefanía Alaminos & Mercedes Ayuso, 2015. "Methodological Approach of a Multiple State Actuarial Model for the Married - Widower case for the assessment of retirement and widowhood pensions," Working Papers 2015-04, Universitat de Barcelona, UB Riskcenter.
  • Handle: RePEc:bak:wpaper:201504
    as

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    File URL: http://www.ub.edu/rfa/research/WP/UBriskcenterWP201504.pdf
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    References listed on IDEAS

    as
    1. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Ramos-Herrera, María del Carmen, 2014. "An update on EMU sovereign yield spread drivers in times of crisis: A panel data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 133-153.
    2. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2014. "Causality and contagion in EMU sovereign debt markets," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 12-27.
    3. Ramon Alemany & Catalina Bolance & Montserrat Guillen, 2014. "Accounting for severity of risk when pricing insurance products," Working Papers 2014-05, Universitat de Barcelona, UB Riskcenter.
    4. Pilar Abad & Helena Chuliá, 2014. "European government bond market integration in turbulent times," Working Papers 2014-08, Universitat de Barcelona, UB Riskcenter.
    5. María Lorena Mari del Cristo & Marta Gómez-Puig, 2017. "Dollarization and the relationship between EMBI and fundamentals in Latin American Countries," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 40(112), pages 14-30, Enero.
    6. Catalina Bolance & Montserrat Guillen & David Pitt, 2014. "Non-parametric Models for Univariate Claim Severity Distributions - an approach using R," Working Papers 2014-01, Universitat de Barcelona, UB Riskcenter.
    7. Xavier Piulachs & Ramon Alemany & Montserrat Guillen, 2014. "A joint longitudinal and survival model with health care usage for insured elderly," Working Papers 2014-07, Universitat de Barcelona, UB Riskcenter.
    8. Catherine Donnelly & Russell Gerrard & Montserrat Guillén & Jens Perch Nielsen, 2015. "Less is more: increasing retirement gains by using an upside terminal wealth constraint," Working Papers 2015-02, Universitat de Barcelona, UB Riskcenter.
    9. Catalina Bolancé & Montserrat Guillén & Alemar Padilla, 2015. "Estimación del riesgo mediante el ajuste de cópulas," Working Papers 2015-01, Universitat de Barcelona, UB Riskcenter.
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    Keywords

    Marital Status; transition probabilities; Markov Chains; expected individual cost; pensions.;
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