IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v53y2019i1d10.1007_s11135-018-0766-x.html
   My bibliography  Save this article

Drawing the optimal monetary poverty lines based on empirical data: an application to Spain

Author

Listed:
  • Antonio M. Salcedo

    (Universidad Complutense de Madrid)

  • Gregorio Izquierdo Llanes

    (Universidad Nacional de Educación a Distancia (UNED))

Abstract

This study incorporates revealed severe material deprivation in the determination of the at-risk-of monetary poverty lines from the perspective of equivalent income. In this way, two poverty perspectives which were previously seen as independent, and to some extent mutually exclusive, are brought together. A harmonized procedure based on receiver operating curves to determine the percentage p in relation to the median is applied; this percentage determines whether or not a person is at-risk-of poverty − 60% in the EU but 50% in the UN and OECD. In these two cases the percentage is always constant in all countries over the time by convention. Unlike the classical approach, our study identifies different thresholds for each reality (space and time), that are checked firstly using criteria for sensitivity, specificity, accuracy and the predictive values, secondly, by correlation between the improved indicator and the severe material deprivation rate, and finally, using an exogenous contrast variable.

Suggested Citation

  • Antonio M. Salcedo & Gregorio Izquierdo Llanes, 2019. "Drawing the optimal monetary poverty lines based on empirical data: an application to Spain," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 513-527, January.
  • Handle: RePEc:spr:qualqt:v:53:y:2019:i:1:d:10.1007_s11135-018-0766-x
    DOI: 10.1007/s11135-018-0766-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-018-0766-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-018-0766-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thorat, Amit & Vanneman, Reeve & Desai, Sonalde & Dubey, Amaresh, 2017. "Escaping and Falling into Poverty in India Today," World Development, Elsevier, vol. 93(C), pages 413-426.
    2. Alan Gillie, 2008. "Identifying the poor in the 1870s and 1880s1," Economic History Review, Economic History Society, vol. 61(2), pages 302-325, May.
    3. Wilfred I. Ukpere & Andre D. Slabbert, 2009. "A relationship between current globalisation, unemployment, inequality and poverty," International Journal of Social Economics, Emerald Group Publishing, vol. 36(1), pages 37-46, January.
    4. López-Ratón, Mónica & Rodríguez-Álvarez, María Xosé & Cadarso-Suárez, Carmen & Gude-Sampedro, Francisco, 2014. "OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i08).
    5. Andreas Dür & Leonardo Baccini & Manfred Elsig, 2014. "The design of international trade agreements: Introducing a new dataset," The Review of International Organizations, Springer, vol. 9(3), pages 353-375, September.
    6. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    7. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    8. Dür, Andreas & Baccini, Leonardo & Elsig, Manfred, 2014. "The design of international trade agreements: introducing a new dataset," LSE Research Online Documents on Economics 59179, London School of Economics and Political Science, LSE Library.
    9. Diego Battiston & Guillermo Cruces & Luis Lopez-Calva & Maria Lugo & Maria Santos, 2013. "Income and Beyond: Multidimensional Poverty in Six Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 291-314, June.
    10. Moatsos Michail, 2016. "Global Absolute Poverty: Behind the Veil of Dollars," Journal of Globalization and Development, De Gruyter, vol. 7(2), pages 1-28, December.
    11. Wilfred I. Ukpere & Andre D. Slabbert, 2009. "A relationship between current globalisation, unemployment, inequality and poverty," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(1/2), pages 37-46, January.
    12. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    13. Martin Ravallion & Kristen Himelein & Kathleen Beegle, 2016. "Can Subjective Questions on Economic Welfare Be Trusted?," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 697-726.
    14. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491, Decembrie.
    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. Clement Olalekan Olaniyi & James Temitope Dada & Nicholas Mbaya Odhiambo & Xuan Vinh Vo, 2023. "Modelling asymmetric structure in the finance-poverty nexus: empirical insights from an emerging market economy," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 453-487, February.
    2. Chiara Mussida & Maria Laura Parisi, 2021. "Social exclusion and financial distress: evidence from Italy and Spain," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 995-1024, October.

    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. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    2. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    3. Carla Arévalo and Jorge Paz, 2015. "Pobreza en la Argentina. Privaciones múltiples y asimetrías regionales," Working Papers 15, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    4. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2018. "Measurement of Poverty in Multiple Dimensions: The Case of Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 953-990, August.
    5. Keetie Roelen, 2018. "Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(2), pages 320-341, April.
    6. Gallardo, Mauricio, 2022. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 492-512.
    7. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.
    8. Lungile Ntsalaze & Sylvanus Ikhide, 2018. "Rethinking Dimensions: The South African Multidimensional Poverty Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 195-213, January.
    9. Cecilia Rubio & María Clara Rubio & Elena Abraham, 2018. "Poverty Assessment in Degraded Rural Drylands in the Monte Desert, Argentina. An Evaluation Using GIS and Multi-criteria Decision Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 579-603, June.
    10. Hada Melissa Sáenz Vela & Luis Gutiérrez Flores & Enrique Eliseo Minor Campa, 2018. "Una nota sobre la ponderación del índice de privación social de México\A note on the weighting of the Mexican Social Deprivation Index," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(2), pages 313-331.
    11. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2020. "Targeting Administrative Regions for Multidimensional Poverty Alleviation: A Study on Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 143-189, July.
    12. Carmelo García-Pérez & Yolanda González-González & Mercedes Prieto-Alaiz, 2017. "Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 291-303, March.
    13. Espinoza-Delgado, José & López-Laborda, Julio, 2016. "Las tres Is de la pobreza multidimensional en Nicaragua y el diferencial de género en los primeros quince años del siglo XXI, a partir de un enfoque centrado en la persona [The three I’s of multidi," MPRA Paper 74997, University Library of Munich, Germany.
    14. Roberto Angulo, 2016. "From Multidimensional Poverty Measurement to Multisector Public Policy for Poverty Reduction: Lessons from the Colombian Case," OPHI Working Papers ophiwp102_1.pdf, Queen Elizabeth House, University of Oxford.
    15. Pablo González & Kirsten Sehnbruch & Mauricio Apablaza & Rocío Méndez Pineda & Veronica Arriagada, 2021. "A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 107-141, November.
    16. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.
    17. Santos, María Emma, 2019. "Challenges in designing national multidimensional poverty measures," Estudios Estadísticos 44453, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    18. Robles Aguilar, Gisela & Sumner, Andy, 2020. "Who are the world’s poor? A new profile of global multidimensional poverty," World Development, Elsevier, vol. 126(C).
    19. Debraj Roy & David Bernal & Michael Lees, 2020. "An exploratory factor analysis model for slum severity index in Mexico City," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 789-805, March.
    20. Sebastián Burgos Dávila & Fernando Cando Ortega, 2016. "Multidimensional poverty: an index for Ecuador using Alkire and Foster methodology," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 41(42), pages 11-52, july-dece.

    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:spr:qualqt:v:53:y:2019:i:1:d:10.1007_s11135-018-0766-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.