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Family size, household shocks and chronic and transient poverty in the Philippines

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  • Bayudan-Dacuycuy, Connie
  • Lim, Joseph Anthony

Abstract

This research is one of the few attempts to analyze chronic and transient poverty in the Philippines. Results indicate that poverty in the Philippines is largely comprised of chronic poverty with households in rural areas and Mindanao regions being the most affected. Using quantile regressions, results show that both chronic and transient poverty are affected by negative shocks to households. Shocks in the labor market such as job loss or income reduction affect chronic poverty while natural disasters such as droughts affect transient poverty. Results also indicate that a higher dependency burden due to a large number of younger children positively affects chronic poverty but not transient poverty. Policy suggestions to lower both types of poverty in the Philippine context are provided.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:asieco:v:29:y:2013:i:c:p:101-112
    DOI: 10.1016/j.asieco.2013.10.001
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    3. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    4. Rio Yonson & Ilan Noy & JC Gaillard, 2018. "The measurement of disaster risk: An example from tropical cyclones in the Philippines," Review of Development Economics, Wiley Blackwell, vol. 22(2), pages 736-765, May.
    5. Zhaohua Zhang & Yuxi Luo & Derrick Robinson, 2018. "Reducing Food Poverty and Vulnerability among the Rural Elderly with Chronic Diseases: The Role of the New Rural Pension Scheme in China," IJERPH, MDPI, vol. 15(6), pages 1-20, June.
    6. Connie Bayudan-Dacuycuy & Lora Baje, 2017. "Chronic and Transient Poverty and Weather Variability in the Philippines: Evidence Using Components Approach," Working Papers id:12072, eSocialSciences.
    7. Asep Suryahadi & Cecilia Marlina, "undated". "Understanding Metropolitan Poverty: The Profile of Poverty in Jabodetabek Area," Working Papers 1773, Communications Section.
    8. Dede Woade Gafa & Louis Sitsofe Hodey & Bernardin Senadza, 2024. "Examining Poverty Dynamics in Ghana: Evidence from Longitudinal and Repeated Cross-Sectional Data," Journal of African Economies, Centre for the Study of African Economies, vol. 33(Supplemen), pages 136-157.
    9. Carlos C. Bautista, 2018. "Explaining Multidimensional Poverty: A Household-Level Analysis," Asian Economic Papers, MIT Press, vol. 17(3), pages 183-210, Fall.
    10. Connie Bayudan-Dacuycuy & Lora Kryz Baje, 2019. "When It Rains, It Pours? Analyzing the Rainfall Shocks-Poverty Nexus in the Philippines," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 67-93, August.
    11. Lilik Sugiharti & Miguel Angel Esquivias & Mohd Shahidan Shaari & Ari Dwi Jayanti & Abdul Rahim Ridzuan, 2023. "Indonesia’s poverty puzzle: Chronic vs. transient poverty dynamics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2267927-226, October.
    12. Rio Yonson & Ilan Noy & JC Gaillard, 2018. "The measurement of disaster risk: An example from tropical cyclones in the Philippines," Review of Development Economics, Wiley Blackwell, vol. 22(2), pages 736-765, May.

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    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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