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Applying the Consensual Method of Estimating Poverty in a Low Income African Setting

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  • Shailen Nandy
  • Marco Pomati
Abstract
We present the first study of multidimensional poverty in Benin using the consensual or socially perceived necessities approach. There is a remarkable level consensus about what constitutes the necessities of life and an adequate standard of living. Following Townsend’s concept of relative deprivation, we show how social consensus provides the basis for a reliable and valid index of multiple deprivation, which can be used to reflect multidimensional poverty. We discuss the issue of adaptive preferences, which has previously been used to criticise the consensual approach, and provide evidence to contest the claim that the poor adjust their aspirations downwards. Copyright The Author(s) 2015

Suggested Citation

  • Shailen Nandy & Marco Pomati, 2015. "Applying the Consensual Method of Estimating Poverty in a Low Income African Setting," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(3), pages 693-726, December.
    • Handle: RePEc:spr:soinre:v:124:y:2015:i:3:p:693-726
    DOI: 10.1007/s11205-014-0819-z
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    References listed on IDEAS

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    1. Oliver Mtapuri, 2011. "Developing an asset threshold using the consensual approach: Results from Mashonaland West, Zimbabwe," Journal of International Development, John Wiley & Sons, Ltd., vol. 23(1), pages 29-41, January.
    2. Tania Burchardt, 2004. "One man's rags are another man's riches: Identifying adaptive preferences using panel data," CASE Papers 086, Centre for Analysis of Social Exclusion, LSE.
    3. Xavier Sala-i-Martin & Maxim Pinkovskiy, 2010. "African Poverty is Falling...Much Faster than You Think!," NBER Working Papers 15775, National Bureau of Economic Research, Inc.
    4. Shaohua Chen & Martin Ravallion, 2010. "The Developing World is Poorer than We Thought, But No Less Successful in the Fight Against Poverty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1577-1625.
    5. Burchardt, Tania, 2004. "One man's rags are another man's riches: identifying adaptive preferences using panel data," LSE Research Online Documents on Economics 6304, London School of Economics and Political Science, LSE Library.
    6. Eric Crettaz & Christian Suter, 2013. "The Impact of Adaptive Preferences on Subjective Indicators: An Analysis of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(1), pages 139-152, October.
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    Cited by:

    1. Zenghui Huo & Mei Zhang, 2023. "Multidimensional Deprivation and Subgroup Heterogeneity of Rural Households in China: Empirical Evidence from Latent Variable Estimation Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 975-997, February.
    2. Marco Pomati & Shailen Nandy, 2020. "Measuring Multidimensional Poverty According to National Definitions: Operationalising Target 1.2 of the Sustainable Development Goals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 105-126, February.
    3. Anne-Catherine Guio & David Gordon & Eric Marlier & Hector Najera & Marco Pomati, 2018. "Towards an EU measure of child deprivation," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 835-860, June.
    4. Alba Lanau & Viliami Fifita, 2020. "Do Households Prioritise Children? Intra-Household Deprivation a Case Study of the South Pacific," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(6), pages 1953-1973, December.
    5. Maryam Abdu & Enrique Delamonica, 2018. "Multidimensional Child Poverty: From Complex Weighting to Simple Representation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 881-905, April.
    6. L'Roe, Jessica & Detoeuf, Diane & Wieland, Michelle & Ikati, Bernard & Enduyi Kimuha, Moïse & Sandrin, François & Angauko Sukari, Odette & Nzale Nkumu, Junior & Kretser, Heidi E. & Wilkie, David, 2023. "Large-scale monitoring in the DRC’s Ituri forest with a locally informed multidimensional well-being index," World Development, Elsevier, vol. 169(C).
    7. Anne-Catherine Guio & Eric Marlier & Frank Vandenbroucke & Pim Verbunt, 2022. "Differences in Child Deprivation Across Europe: The Role of In-Cash and In-Kind Transfers," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(6), pages 2363-2388, December.
    8. Annie Smith & Stephanie Martin & Maya Peled & Colleen Poon, 2023. "Developing an index of adolescent deprivation for use in British Columbia, Canada," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 273-291, February.
    9. Musiwa, Anthony Shuko, 2019. "Multidimensional child poverty in Zimbabwe: Extent, risk patterns and implications for policy, practice and research," Children and Youth Services Review, Elsevier, vol. 104(C), pages 1-1.
    10. 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.
    11. Héctor E. Nájera Catalán, 2019. "Reliability, Population Classification and Weighting in Multidimensional Poverty Measurement: A Monte Carlo Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 887-910, April.
    12. Geranda Notten & Julie Kaplan, 2022. "An Empirical Validation Method for Narrowing the Range of Poverty Thresholds," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 251-271, May.
    13. Héctor Nájera & David Gordon, 2023. "A Monte Carlo Study of Some Empirical Methods to Find the Optimal Poverty Line in Multidimensional Poverty Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 391-419, June.
    14. Anthony Shuko Musiwa, 2020. "Extent and Depth of Child Poverty and Deprivation in Zimbabwe: a Multidimensional Deprivation Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(3), pages 885-915, June.
    15. Anthony S. Musiwa, 2019. "Child Poverty and Gender and Location Disparities in Zimbabwe: A Multidimensional Deprivation Approach," Poverty & Public Policy, John Wiley & Sons, vol. 11(1-2), pages 99-137, July.
    16. Eunju Kim & Shailen Nandy, 2018. "Multidimensional Child Poverty in Korea: Developing Child-Specific Indicators for the Sustainable Development Goals," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 1029-1050, June.

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