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Poverty, Vulnerability and Family Size: Evidence from the Philippines

Author

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  • Orbeta, Aniceto Jr. C.
Abstract
This paper shows how large family size can be an important contributor to household poverty. It presents results from recent research by the author using nationally representative household survey data that demonstrate clearly how large family size can contribute to poverty and vulnerability through its impact on household savings, labor supply, and parental earnings and education of children. The paper is the most systematic attempt to date to show the links between family size and poverty in the Philippines using household survey data. The clear implication of the results is that, in the case of the Philippines, an active population policy aimed at restricting family size could have an important impact on poverty reduction.

Suggested Citation

  • Orbeta, Aniceto Jr. C., 2005. "Poverty, Vulnerability and Family Size: Evidence from the Philippines," Discussion Papers DP 2005-19, Philippine Institute for Development Studies.
    • Handle: RePEc:phd:dpaper:dp_2005-19
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    File URL: https://www.pids.gov.ph/publication/discussion-papers/poverty-vulnerability-and-family-size-evidence-from-the-philippines
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    References listed on IDEAS

    as
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    9. Stefan Dercon (QEH), "undated". "Vulnerability: a micro perspective," QEH Working Papers qehwps149, Queen Elizabeth House, University of Oxford.
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Orbeta, Aniceto Jr. C., 2005. "Poverty, Fertility Preferences and Family Planning Practice in the Philippines," Discussion Papers DP 2005-22, Philippine Institute for Development Studies.
    2. Orbeta, Aniceto Jr. C., 2006. "Children and Household Savings in the Philippines," Discussion Papers DP 2006-14, Philippine Institute for Development Studies.
    3. Rachel H. Racelis & J.M Ian S. Salas, 2007. "Measuring Economic Lifecycle and Flows across Population Age Groups : Data and Methods in the Application of the NTA in the Philippines," Development Economics Working Papers 22682, East Asian Bureau of Economic Research.
    4. World Bank, 2012. "Liberia Poverty Note : Tracking the Dimensions of Poverty," World Bank Publications - Reports 12320, The World Bank Group.
    5. Nana Ohene Akonor & Adriana A. E. Biney, 2021. "Ethnicity and fertility desires in Ghana," Journal of Population Research, Springer, vol. 38(3), pages 283-306, September.
    6. G. M. Arif & Faiz Bilquees, 2007. "Chronic and Transitory Poverty in Pakistan: Evidence from a Longitudinal Household Survey," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(2), pages 111-127.
    7. Abrigo, Michael R.M. & Racelis, Rachel H. & Salas, J.M. Ian & Herrin, Alejandro N., 2016. "Decomposing economic gains from population age structure transition in the Philippines," The Journal of the Economics of Ageing, Elsevier, vol. 8(C), pages 19-27.
    8. repec:phd:pjdevt:pjd_2005_vol__xxxii_no__2-a is not listed on IDEAS
    9. Barrios, Erniel B. & Mina, Christian D., 2009. "Profiling Poverty with Multivariate Adaptive Regression Splines," Discussion Papers DP 2009-29, Philippine Institute for Development Studies.
    10. Chakravorty, Swastika & Goli, Srinivas, 2021. "Family Structure, Economic Outcomes and Perceived Change in Economic Well-being in India," OSF Preprints 23kvs, Center for Open Science.
    11. Win Le Shwe Sin Ei & Than Lwin Tun & Chit Htun & Etienne Gignoux & Kyaw Thu Swe & Andrea Incerti & Derek C Johnson, 2019. "Nagaland health assessment: High mortality rates and difficulty accessing essential health services in Lahe Township, Republic of the Union of Myanmar," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-20, May.
    12. Bayudan-Dacuycuy, Connie & Lim, Joseph Anthony, 2013. "Family size, household shocks and chronic and transient poverty in the Philippines," Journal of Asian Economics, Elsevier, vol. 29(C), pages 101-112.
    13. Bayudan-Dacuycuy, Connie & Lim, Joseph Anthony, 2013. "Family Size, Household Shocks and Chronic and Transient Poverty in the Philippine Households," MPRA Paper 64739, University Library of Munich, Germany.
    14. Sourav Kumar Das & Jyotish Prakash Basu, 2022. "Tribal livelihood vulnerability due to climate change: a study across tribes of Paschim Medinipur district of West Bengal," SN Business & Economics, Springer, vol. 2(8), pages 1-23, August.
    15. G. M. Arif & Shujaat Farooq, 2014. "Rural Poverty Dynamics in Pakistan: Evidence from Three Waves of the Panel Survey," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(2), pages 71-98.
    16. Susilo Nur Aji Cokro Darsono & Mongkon Donkwa, 2016. "Factors Analysis of Household Poverty in Rural Area of West Kalimantan, Indonesia," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 6(6), pages 1-2.
    17. Farzin Mumtahena & Kaustav Sen & Mahnoor Imran Sayyed & Pasan Wijayawardhana & Roya Zafari & Shrijya Kafle, 2023. "Learning Losses of Undergraduate Students in South Asia during COVID‐19 and its Determinants," Economic Papers, The Economic Society of Australia, vol. 42(4), pages 366-394, December.
    18. Yaying Zhu & Juan Chen, 2022. "Small-Scale Farmers’ Preference Heterogeneity for Green Agriculture Policy Incentives Identified by Choice Experiment," Sustainability, MDPI, vol. 14(10), pages 1-19, May.

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    More about this item

    Keywords

    vulnerability; poverty; Philippines; family size;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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