IDEAS home Printed from https://ideas.repec.org/p/phd/dpaper/dp_2009-29.html
   My bibliography  Save this paper

Profiling Poverty with Multivariate Adaptive Regression Splines

Author

Listed:
  • Barrios, Erniel B.
  • Mina, Christian D.

Abstract

Using data from the 2003 Family Income and Expenditure Survey and 2005 Community-based Monitoring System for a city, Multivariate Adaptive Regression Splines (MARS) is used in identifying household poverty correlates in the Philippines. Models produced by MARS are more parsimonious yet contain theoretically and empirically sound set of household poverty correlates and have high accuracy in identifying a poor household. MARS provides a better alternative to logistic regression for a more efficient and effective implementation of a proxy means test in the identification of potential beneficiaries of poverty alleviation programs.

Suggested Citation

  • Barrios, Erniel B. & Mina, Christian D., 2009. "Profiling Poverty with Multivariate Adaptive Regression Splines," Discussion Papers DP 2009-29, Philippine Institute for Development Studies.
    • Handle: RePEc:phd:dpaper:dp_2009-29
    as

    Download full text from publisher

    File URL: https://www.pids.gov.ph/publication/discussion-papers/profiling-poverty-with-multivariate-adaptive-regression-splines
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tabuga, Aubrey D., 2007. "International Remittances and Household Expenditures: the Philippine Case," Discussion Papers DP 2007-18, Philippine Institute for Development Studies.
    2. Aniceto C. Orbeta, 2006. "Poverty, Vulnerability and Family Size: Evidence from the Philippines," Chapters, in: John Weiss & Haider A. Khan (ed.), Poverty Strategies in Asia, chapter 6, Edward Elgar Publishing.
    3. Balisacan, Arsenio M, 1993. "Agricultural Growth, Landlessness, Off-farm Employment, and Rural Poverty in the Philippines," Economic Development and Cultural Change, University of Chicago Press, vol. 41(3), pages 533-562, April.
    4. World Bank, 1990. "World Development Report 1990," World Bank Publications - Books, The World Bank Group, number 5973, March.
    5. Rosario G. Manasan & Janet S. Cuenca, 2007. "Who Benefits from the Food-for-School Program : Lessons in Targeting," Development Economics Working Papers 21929, East Asian Bureau of Economic Research.
    6. Ahmed, Akhter U. & Bouis, Howarth E., 2002. "Weighing what's practical: proxy means tests for targeting food subsidies in Egypt," Food Policy, Elsevier, vol. 27(5-6), pages 519-540.
    7. Manasan, Rosario G. & Cuenca, Janet S., 2007. "Who Benefits from the Food-for-School Program and Tindahan Natin Program: Lessons in Targeting," Discussion Papers DP 2007-10, Philippine Institute for Development Studies.
    8. Dean P. Foster & Robert A. Stine, 2001. "Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy," Center for Financial Institutions Working Papers 01-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
    9. Foster D.P. & Stine R.A., 2004. "Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 303-313, January.
    10. Grosh, M.E. & Baker, J.L., 1995. "Proxy Means Tests for Targetting Social Programs. Simulations and Speculation," Papers 118, World Bank - Living Standards Measurement.
    11. Lipton, Michael & Ravallion, Martin, 1995. "Poverty and policy," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 41, pages 2551-2657, Elsevier.
    12. Celia M. Reyes, 2006. "Alternative Means Testing Options Using CBMS," Development Economics Working Papers 22685, East Asian Bureau of Economic Research.
    13. Houssou, Nazaire & Zeller, Manfred & Alcaraz V., Gabriela & Schwarze, Stefan & Johannsen, Julia, 2007. "Proxy Means Tests for Targeting the Poorest Households -- Applications to Uganda," 106th Seminar, October 25-27, 2007, Montpellier, France 7946, European Association of Agricultural Economists.
    14. Kuhnert, Petra M. & Do, Kim-Anh & McClure, Rod, 2000. "Combining non-parametric models with logistic regression: an application to motor vehicle injury data," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 371-386, September.
    15. Reyes, Celia M., 2006. "Alternative Means Testing Options Using CBMS," Discussion Papers DP 2006-22, Philippine Institute for Development Studies.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Md. Khaled Saifullah & Fatimah Binti Kari & Azmah Othman, 2018. "Income Dependency on Non-timber Forest Products: An Empirical Evidence of the Indigenous People in Peninsular Malaysia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 215-231, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barrios, Erniel B. & Mina, Christian D., 2009. "Profiling Poverty with Multivariate Adaptive Regression Splines," Discussion Papers DP 2009-29, Philippine Institute for Development Studies.
    2. Dmytro Boyarchuk & Liudmyla Kotusenko & Katarzyna Pietka-Kosinska & Roman Semko & Irina Sinitsina, 2009. "Agriculture Income Assessment for the Purpose of Social Assistance: the Case of Ukraine," CASE Network Studies and Analyses 0399, CASE-Center for Social and Economic Research.
    3. Christophe Muller & Sami Bibi, 2006. "Focused Targeting against Poverty Evidence from Tunisia," IDEP Working Papers 0602, Institut d'economie publique (IDEP), Marseille, France, revised Apr 2006.
    4. Jehu-Appiah, Caroline & Aryeetey, Genevieve & Spaan, Ernst & Agyepong, Irene & Baltussen, Rob, 2010. "Efficiency, equity and feasibility of strategies to identify the poor: An application to premium exemptions under National Health Insurance in Ghana," Health Policy, Elsevier, vol. 95(2-3), pages 166-173, May.
    5. Delalić Adela & Abdić Ademir & Halilbašić Muamer & Šćeta Lamija, 2020. "Assesing efficiency of targeting in social services in Federation of Bosnia and Herzegovina," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 56-74, May.
    6. Gaurav Datt & Martin Ravallion, 1998. "Farm productivity and rural poverty in India," Journal of Development Studies, Taylor & Francis Journals, vol. 34(4), pages 62-85.
    7. Ravallion, Martin, 1994. "Measuring Social Welfare with and without Poverty Lines," American Economic Review, American Economic Association, vol. 84(2), pages 359-364, May.
    8. Stoeffler, Quentin & Mills, Bradford & del Ninno, Carlo, 2016. "Reaching the Poor: Cash Transfer Program Targeting in Cameroon," World Development, Elsevier, vol. 83(C), pages 244-263.
    9. Fernandez, Luisa, 2012. "Design and implementation features of the national household targeting system in the Philippines," Social Protection and Labor Policy and Technical Notes 70149, The World Bank.
    10. Adesina, Adedoyin & Akogun, Oladele & Dillon, Andrew & Friedman, Jed & Njobdi, Sani & Serneels, Pieter, 2017. "Robustness and External Validity: What do we Learn from Repeated Study Designs over Time?," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266292, Agricultural and Applied Economics Association.
    11. Oznur Ozdamar & Eleftherios Giovanis, 2019. "Youth Multidimensional Poverty and Its Dynamics: Evidence From Selected Countries In The Mena Region," Working Papers 1339, Economic Research Forum, revised 21 Aug 2019.
    12. Stefan Wachter & Sebastian Galiani, 2006. "Optimal income support targeting," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 13(6), pages 661-684, November.
    13. Schleicher, Michael & Souares, Aurélia & Pacere, Athanase Narangoro & Sauerborn, Rainer & Klonner, Stefan, 2016. "Decentralized versus Statistical Targeting of Anti-Poverty Programs: Evidence from Burkina Faso," Working Papers 0623, University of Heidelberg, Department of Economics.
    14. Christophe Muller, 2007. "Anti-Poverty Transfers without Riots in Tunisia," Working Papers DT/2007/08, DIAL (Développement, Institutions et Mondialisation).
    15. Christophe Muller, 2008. "The Measurement Of Poverty With Geographical And Intertemporal Price Dispersion: Evidence From Rwanda," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(1), pages 27-49, March.
    16. Paul Mosley, 2012. "The politics of what works for the poor in public expenditure and taxation: a review," Global Development Institute Working Paper Series esid-011-12, GDI, The University of Manchester.
    17. Akogun, Oladele & Dillon, Andrew & Friedman, Jed & Prasann, Ashesh & Serneels, Pieter, 2017. "Productivity and Health: Alternative Productivity Measures using Physical Activity," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258380, Agricultural and Applied Economics Association.
    18. Aguila, Emma & Kapteyn, Arie & Tassot, Caroline, 2017. "Designing cash transfer programs for an older population: The Mexican case," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 111-121.
    19. Omonona, Bolarin T., 2009. "Quantitative analysis of rural poverty in Nigeria," NSSP working papers 9, International Food Policy Research Institute (IFPRI).
    20. Kanbur, Ravi, 2000. "Income distribution and development," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 13, pages 791-841, Elsevier.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:phd:dpaper:dp_2009-29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael Ralph M. Abrigo (email available below). General contact details of provider: https://edirc.repec.org/data/pidgvph.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.