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Formal volunteering and self-perceived health. Causal evidence from the UK-SILC

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  • Fiorillo, Damiano
  • Nappo, Nunzia

Abstract

The paper assesses the causal relationship between formal volunteering and individual health. The econometric analysis employs data provided by the Income and Living Conditions Survey for the United Kingdom carried out by the European Union’s Statistics (UK-SILC) in 2006. Based on 2SLS, treatment effect and recursive bivariate probit models, and religious participation as instrument variable, and controlling for social and cultural capital, our results show a positive and causal relationship between formal volunteering and self-perceived health.

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  • Fiorillo, Damiano & Nappo, Nunzia, 2015. "Formal volunteering and self-perceived health. Causal evidence from the UK-SILC," MPRA Paper 62051, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:62051
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    Cited by:

    1. Michelle I. Jongenelis & Liyuwork Mitiku Dana & Jeni Warburton & Ben Jackson & Robert U. Newton & Zenobia Talati & Simone Pettigrew, 2020. "Factors associated with formal volunteering among retirees," European Journal of Ageing, Springer, vol. 17(2), pages 229-239, June.
    2. Catherine Deri Armstrong & Rose Anne Devlin & Forough Seifi, 2018. "Doing Good, Feeling Good: Causal Evidence from Canadian Volunteers," Working Papers 1807E, University of Ottawa, Department of Economics.
    3. Michelle I. Jongenelis & Ben Jackson & Jennifer Warburton & Robert U. Newton & Simone Pettigrew, 2022. "Aspects of formal volunteering that contribute to favourable psychological outcomes in older adults," European Journal of Ageing, Springer, vol. 19(1), pages 107-116, March.
    4. Fiorillo, Damiano & Nappo, Nunzia, 2014. "Volunteering and perceived health. A European cross-countries investigation," MPRA Paper 72313, University Library of Munich, Germany, revised 2016.

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    More about this item

    Keywords

    health; formal volunteering; social capital; instrumental variable; treatment effect model; recursive bivariate probit model; UK;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D6 - Microeconomics - - Welfare Economics
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Z10 - Other Special Topics - - Cultural Economics - - - General
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

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