IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v175y2024i2d10.1007_s11205-024-03340-9.html
   My bibliography  Save this article

Estimation of Multidimensional Poverty in Morocco: A Small Area Estimation Approach Using Meteorological and Socio-economic Covariates

Author

Listed:
  • Gianni Betti

    (University of Siena)

  • Federico Crescenzi

    (University of Tuscia)

  • Vasco Molini

    (World Bank)

  • Lorenzo Mori

    (University of Bologna)

Abstract

In this paper we estimate the Head Count Ratio (HCR) and two fuzzy poverty measures at provincial level in Morocco using data from the Household Budget Survey (HBS). As the sample size is not always sufficient to provide reliable direct estimates, we use a Fay–Herriot model with additive logistic transformation and meteorological covariates to obtain estimates with lower mean squared errors. Among our main results, we find out that the Fuzzy Monetary measure provides more accurate estimates than the Head Count Ratio when conducting small area estimation exercises. Also, we empirically notice that the set of covariates at our disposal allows us to obtain better estimates for each supplementary poverty measure that we identify.

Suggested Citation

  • Gianni Betti & Federico Crescenzi & Vasco Molini & Lorenzo Mori, 2024. "Estimation of Multidimensional Poverty in Morocco: A Small Area Estimation Approach Using Meteorological and Socio-economic Covariates," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 545-575, November.
    • Handle: RePEc:spr:soinre:v:175:y:2024:i:2:d:10.1007_s11205-024-03340-9
    DOI: 10.1007/s11205-024-03340-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-024-03340-9
    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/s11205-024-03340-9?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. Yves G. Berger & Chris J. Skinner, 2005. "A jackknife variance estimator for unequal probability sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(1), pages 79-89, February.
    2. 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.
    3. Gianni Betti & Francesca Gagliardi & Vijay Verma, 2018. "Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty," International Statistical Review, International Statistical Institute, vol. 86(1), pages 68-86, April.
    4. Asma Zedini & Besma Belhadj, 2015. "A New Approach to Unidimensional Poverty Analysis: Application to the Tunisian Case," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(3), pages 465-476, September.
    5. Nikos Tzavidis & Li‐Chun Zhang & Angela Luna & Timo Schmid & Natalia Rojas‐Perilla, 2018. "From start to finish: a framework for the production of small area official statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 927-979, October.
    6. Datta, Gauri S. & Torabi, Mahmoud & Rao, J.N.K. & Liu, Benmei, 2018. "Small area estimation with multiple covariates measured with errors: A nested error linear regression approach of combining multiple surveys," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 49-59.
    7. 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.
    8. 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.
    9. Jelke Bethlehem, 2010. "Selection Bias in Web Surveys," International Statistical Review, International Statistical Institute, vol. 78(2), pages 161-188, August.
    10. S Sugasawa, 2020. "Robust empirical Bayes small area estimation with density power divergence," Biometrika, Biometrika Trust, vol. 107(2), pages 467-480.
    11. Vijay Verma & Gianni Betti, 2011. "Taylor linearization sampling errors and design effects for poverty measures and other complex statistics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1549-1576, August.
    12. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers 83, Queen Elizabeth House, University of Oxford.
    13. repec:csb:stintr:v:17:y:2016:i:1:p:41-66 is not listed on IDEAS
    14. Besma Belhadj, 2011. "A new fuzzy unidimensional poverty index from an information theory perspective," Empirical Economics, Springer, vol. 40(3), pages 687-704, May.
    15. Winsemius, Hessel C. & Jongman, Brenden & Veldkamp, Ted I.E. & Hallegatte, Stephane & Bangalore, Mook & Ward, Philip J., 2018. "Disaster risk, climate change, and poverty: assessing the global exposure of poor people to floods and droughts," Environment and Development Economics, Cambridge University Press, vol. 23(3), pages 328-348, June.
    16. repec:bla:jorssa:v:180:y:2017:i:4:p:1163-1190 is not listed on IDEAS
    17. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers 90, Queen Elizabeth House, University of Oxford.
    18. Nora Würz & Timo Schmid & Nikos Tzavidis, 2022. "Estimating regional income indicators under transformations and access to limited population auxiliary information," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1679-1706, October.
    19. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers ophiwp083_ch2.pdf, Queen Elizabeth House, University of Oxford.
    20. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers 88, Queen Elizabeth House, University of Oxford.
    21. María Dolores Esteban & María José Lombardía & Esther López-Vizcaíno & Domingo Morales & Agustín Pérez, 2020. "Small area estimation of proportions under area-level compositional mixed models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 793-818, September.
    22. Judith Schleicher & Marije Schaafsma & Neil D. Burgess & Chris Sandbrook & Fiona Danks & Chris Cowie & Bhaskar Vira, 2018. "Poorer without It? The Neglected Role of the Natural Environment in Poverty and Wellbeing," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(1), pages 83-98, January.
    Full references (including those not matched with items on IDEAS)

    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. Tavares, Fernando Flores & Betti, Gianni, 2021. "The pandemic of poverty, vulnerability, and COVID-19: Evidence from a fuzzy multidimensional analysis of deprivations in Brazil," World Development, Elsevier, vol. 139(C).
    2. Fernando Flores Tavares & Gianni Betti, 2024. "Gender Differences in Multidimensional Poverty in Brazil: A Fuzzy Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 385-422, November.
    3. Abre-Rehmat Qurat-ul-Ann & Faisal Mehmood Mirza, 2021. "Multidimensional Energy Poverty in Pakistan: Empirical Evidence from Household Level Micro Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 211-258, May.
    4. Londari Yamarak & Kevin A. Parton, 2023. "Impacts of mining projects in Papua New Guinea on livelihoods and poverty in indigenous mining communities," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(1), pages 13-27, January.
    5. Gaurav Datt, 2019. "Multidimensional poverty in the Philippines, 2004–2013: How much do choices for weighting, identification and aggregation matter?," Empirical Economics, Springer, vol. 57(4), pages 1103-1128, October.
    6. Dutta, Indranil & Nogales, Ricardo & Yalonetzky, Gaston, 2021. "Endogenous weights and multidimensional poverty: A cautionary tale," Journal of Development Economics, Elsevier, vol. 151(C).
    7. M. Azhar Hussain & Nikolaj Siersbæk & Lars Peter Østerdal, 2020. "Multidimensional welfare comparisons of EU member states before, during, and after the financial crisis: a dominance approach," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 645-686, December.
    8. Juan-Francisco Sánchez-García & María-del-Carmen Sánchez-Antón & Rosa Badillo-Amador & María-del-Carmen Marco-Gil & Juan-Vicente LLinares-Ciscar & Susana Álvarez-Díez, 2019. "A New Extension of Bourguignon and Chakravarty Index to Measure Educational Poverty and Its Application to the OECD Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 479-501, September.
    9. Julien Hanoteau, 2023. "Do foreign MNEs alleviate multidimensional poverty in developing countries?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(4), pages 719-749, December.
    10. Brandolini, Andrea & Micklewright, John, 2020. "Tony Atkinson's New Book, Measuring Poverty around the World: Some Further Reflections," IZA Discussion Papers 12890, Institute of Labor Economics (IZA).
    11. Leonardo Gasparini & Pablo Gluzmann & Leopoldo Tornarolli, 2022. "Caracterización de la población vulnerable: una propuesta con estimaciones para Argentina," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 68, pages 135-157, January-D.
    12. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    13. Najam, Zaira, 2020. "The Sensitivity of Poverty Trends to Dimensionality and Distribution Sensitivity in Poverty Measures - District Level Analysis for Pakistan," MPRA Paper 102383, University Library of Munich, Germany.
    14. Matthys, Marie-Luise & Acharya, Sushant & Khatri, Sanjaya, 2021. "“Before cardamom, we used to face hardship”: Analyzing agricultural commercialization effects in Nepal through a local concept of the Good Life," World Development, Elsevier, vol. 141(C).
    15. Anicia Jaegler, 2022. "How to Measure Inclusion in Higher Education: An Inclusive Rating," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    16. Bénédicte Apouey & David Madden, 2023. "Health poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 19, pages 202-211, Edward Elgar Publishing.
    17. Cecilia Njoroge & Anja Smith & Marisa von Fintel, 2024. "Inequalities in Water Insecurity in Kenya: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(1), pages 171-193, October.
    18. Christian P. Schneider, 2024. "Implementing the Resource Nexus approach: the contribution of internationalising German businesses," Sustainability Nexus Forum, Springer, vol. 32(1), pages 1-13, December.
    19. Sung-Geun Kim, 2023. "What can we talk about social cohesion in Korea? An item response theory approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2409-2427, June.
    20. Morel Berendson, Ricardo & Girón, Liz, 2022. "The multidimensional impacts of the Conditional Cash Transfer program Juntos in Peru," MERIT Working Papers 2022-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    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:soinre:v:175:y:2024:i:2:d:10.1007_s11205-024-03340-9. 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.