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Family Size, Household Shocks and Chronic and Transient Poverty in the Philippine Households

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  • Bayudan-Dacuycuy, Connie
  • Lim, Joseph Anthony

Abstract

Using panel data, this paper attempts to analyze the chronic and transient poverty in the Philippines. Results indicate that chronic poverty is the more substantial portion of the Philippine poverty with rural households and households in the Mindanao region as the more afflicted areas. This paper finds that both chronic and transient poverty are affected by negative shocks but negative labor market shocks affect chronic poverty while natural disasters affect transient poverty. Results also indicate that the number of dependent children positively affects chronic poverty but not transient poverty. Policies to lower both types of poverty in the Philippine context are suggested.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:64739
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    File URL: https://mpra.ub.uni-muenchen.de/64739/1/MPRA_paper_64739.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Carlos C. Bautista, 2018. "Explaining Multidimensional Poverty: A Household-Level Analysis," Asian Economic Papers, MIT Press, vol. 17(3), pages 183-210, Fall.
    2. 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.
    3. 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.
    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. 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.
    6. Asep Suryahadi & Cecilia Marlina, "undated". "Understanding Metropolitan Poverty: The Profile of Poverty in Jabodetabek Area," Working Papers 1773, Publications Department.
    7. 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.
    8. Purwono, Rudi & Wardana, Wahyu Wisnu & Haryanto, Tri & Khoerul Mubin, M., 2021. "Poverty dynamics in Indonesia: empirical evidence from three main approaches," World Development Perspectives, Elsevier, vol. 23(C).
    9. 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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    More about this item

    Keywords

    chronic poverty; transient poverty; components approach; quantile regression; Philippines; Asia;
    All these keywords.

    JEL classification:

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

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