IDEAS home Printed from https://ideas.repec.org/a/wly/povpop/v11y2019i1-2p57-72.html
   My bibliography  Save this article

From Unidimensional to Multidimensional Measurement of Poverty in Trinidad and Tobago: The Latent Class Analysis of Poverty Measurement as an Alternative to the Financial Deprivation Model

Author

Listed:
  • Candace A. Moonansingh
  • Wendell C. Wallace
  • Isaac Dialsingh

Abstract

Nonmonetary indicators of poverty are increasingly being used by themselves or in conjunction with monetary indicators to measure poverty levels as previous constructs based solely on monetary indicators are being deconstructed. This is predicated on the notion that low income by itself is insufficient to measure poverty. Despite this general move away from using financial indices as a sole measure of poverty, Trinidad and Tobago continues to use this approach to distinguish the poor from the non‐poor. The current effort examines the unidimensional measurement of poverty in Trinidad and Tobago and proposes an alternative measure, the latent class analysis (LCA) model, to measure poverty on the island. The authors propose the usage of a latent class model (a multidimensional construct) to analyze the nonmonetary indicators associated with two dimensions of poverty—the housing domain and the consumption domain. 由于过去仅以货币指标为基础的概念正逐步瓦解,非货币性贫困指标或与货币性指标结合正日益成为衡量贫困程度的工具。支撑其的概念在于低收入本身不足以衡量贫困。尽管普遍趋势已不再将金融指标作为衡量贫困的唯一标准,但特立尼达和多巴哥仍继续采用此法来区分贫困人群和非贫困人群。目前的工作审查了特立尼达和多巴哥的单维贫困衡量方法,并提出了一种替代措施,即潜在类别分析(LCA)模型,以衡量该群岛的贫困状况。笔者建议运用潜在类别分析(LCA)模型(一种多维结构)来分析与贫困的两个维度相关的非货币指标——住房领域和消费领域。 Los indicadores no monetarios de la pobreza se utilizan cada vez más por sí mismos o en conjunto con los indicadores monetarios para medir los niveles de pobreza, ya que las construcciones anteriores basadas únicamente en indicadores monetarios se están deconstruyendo. Esto se basa en la idea de que los bajos ingresos por sí mismos son insuficientes para medir la pobreza. A pesar de este alejamiento general del uso de los índices financieros como única medida de la pobreza, Trinidad y Tobago continúa utilizando este enfoque para distinguir a los pobres de los no pobres. El esfuerzo actual examina la medición unidimensional de la pobreza en Trinidad y Tobago y propone una medida alternativa, el modelo de Análisis de clase latente (LCA), para medir la pobreza en la isla. Los autores proponen el uso de un modelo de clase latente, el LCA, (una construcción multidimensional) para analizar los indicadores no monetarios asociados con dos dimensiones de la pobreza: el dominio de la vivienda y el dominio del consumo.

Suggested Citation

  • Candace A. Moonansingh & Wendell C. Wallace & Isaac Dialsingh, 2019. "From Unidimensional to Multidimensional Measurement of Poverty in Trinidad and Tobago: The Latent Class Analysis of Poverty Measurement as an Alternative to the Financial Deprivation Model," Poverty & Public Policy, John Wiley & Sons, vol. 11(1-2), pages 57-72, July.
  • Handle: RePEc:wly:povpop:v:11:y:2019:i:1-2:p:57-72
    DOI: 10.1002/pop4.248
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/pop4.248
    Download Restriction: no

    File URL: https://libkey.io/10.1002/pop4.248?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
    ---><---

    References listed on IDEAS

    as
    1. Grace P. Kelly & Michael W. Tomlinson & Demi Patsios, 2016. "Comparative Assessment of Methods for Measuring Consensual Poverty: Sort Card Versus CAPI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 677-698, November.
    2. Amartya K. Sen, 1997. "From Income Inequality to Economic Inequality," Southern Economic Journal, John Wiley & Sons, vol. 64(2), pages 384-401, October.
    3. Francisco H. G. Ferreira & Maria Ana Lugo, 2013. "Multidimensional Poverty Analysis: Looking for a Middle Ground," The World Bank Research Observer, World Bank, vol. 28(2), pages 220-235, August.
    4. Udaya Wagle, 2008. "Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-75875-6, Fall.
    5. Caroline Dewilde, 2004. "The Multidimensional Measurement of Poverty in Belgium and Britain: A Categorical Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 68(3), pages 331-369, September.
    6. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    7. Nanak Kakwani & Hyun H. Son, 2006. "New Global Poverty Counts," Working Papers 29, International Policy Centre for Inclusive Growth.
    8. Lindenberg, Marc, 2002. "Measuring Household Livelihood Security at the Family and Community Level in the Developing World," World Development, Elsevier, vol. 30(2), pages 301-318, February.
    9. Sen, Amartya, 1997. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198292975.
    10. Harold Alderman & Christina H. Paxson, 1994. "Do the Poor Insure? A Synthesis of the Literature on Risk and Consumption in Developing Countries," International Economic Association Series, in: Edmar L. Bacha (ed.), Economics in a Changing World, chapter 3, pages 48-78, Palgrave Macmillan.
    11. Hasan Basarir, 2011. "Poor, Multidimensionally Speaking: Evidence from South Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 20(3), pages 463-504, June.
    12. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    13. Carla Machado & Carlos Daniel Paulino & Francisco Nunes, 2009. "Deprivation analysis based on Bayesian latent class models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(8), pages 871-891.
    14. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
    15. Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications - Books, The World Bank Group, number 11985, December.
    16. 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.
    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. Yulmardi, Yulmardi & Junaidi, Junaidi & Nugraha Putra, Dios, 2023. "Is the second generation of transmigrants more prosperous? A study of intergenerational welfare in ex-transmigration settlements," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(1), March.

    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. Sung-Geun Kim, 2015. "Fuzzy Multidimensional Poverty Measurement: An Analysis of Statistical Behaviors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(3), pages 635-667, February.
    2. Suman Seth and Gaston Yalonetzky, 2018. "Assessing Deprivation with Ordinal Variables: Depth Sensitivity and Poverty Aversion," OPHI Working Papers ophiwp123.pdf, Queen Elizabeth House, University of Oxford.
    3. 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.
    4. 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.
    5. 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.
    6. Okushima, Shinichiro, 2016. "Measuring energy poverty in Japan, 2004–2013," Energy Policy, Elsevier, vol. 98(C), pages 557-564.
    7. Dipesh Gangopadhyay & Robert B. Nielsen & Velma Zahirovic-Herbert, 2021. "Methodology and Axiomatic Characterization of a Multidimensional and Fuzzy Measure of Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 1-37, January.
    8. World Bank, 2022. "A Welfarist Theory Unifying Monetary and Non-Monetary Poverty Measurement," Policy Research Working Paper Series 10076, The World Bank.
    9. Sabina Alkire and James Foster, 2016. "Dimensional and Distributional Contributions to Multidimensional Poverty," OPHI Working Papers ophiwp100_2.pdf, Queen Elizabeth House, University of Oxford.
    10. Sung-Geun Kim, 2016. "What Have We Called as “Poverty”? A Multidimensional and Longitudinal Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 229-276, October.
    11. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    12. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    13. Maria Ana Lugo & Esfandiar Maasoumi, 2008. "Multidimensional Poverty Measures from an Information Theory Perspective," Working Papers 85, ECINEQ, Society for the Study of Economic Inequality.
    14. Koen Decancq & Marc Fleurbaey & François Maniquet, 2019. "Multidimensional poverty measurement with individual preferences," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 29-49, March.
    15. 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.
    16. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Temi di discussione (Economic working papers) 976, Bank of Italy, Economic Research and International Relations Area.
    17. 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.
    18. Nicolai Suppa, 2017. "Transitions in Poverty and Deprivations: An Analysis of Multidimensional Poverty Dynamics," SOEPpapers on Multidisciplinary Panel Data Research 894, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. James E. Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster-Greer-Thorbecke (FGT) Poverty Measures: Twenty-Five Years Later," Working Papers 2010-14, The George Washington University, Institute for International Economic Policy.
    20. Iñaki Permanyer, 2019. "Measuring poverty in multidimensional contexts," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(4), pages 677-708, December.

    More about this item

    Statistics

    Access and download statistics

    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:wly:povpop:v:11:y:2019:i:1-2:p:57-72. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1944-2858 .

    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.