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Approaches and Alternatives to the Wealth Index to Measure Socioeconomic Status Using Survey Data: A Critical Interpretive Synthesis

Author

Listed:
  • Mathieu J. P. Poirier

    (York University
    McMaster University)

  • Karen A. Grépin

    (Wilfrid Laurier University)

  • Michel Grignon

    (McMaster University)

Abstract

Monitoring progress towards the Sustainable Development Goals by 2030 requires the global community to disaggregate targets along socio-economic lines, but little has been published critically analyzing the appropriateness of wealth indices to measure socioeconomic status in low- and middle-income countries. This critical interpretive synthesis analyzes the appropriateness of wealth indices for measuring social health inequalities and provides an overview of alternative methods to calculate wealth indices using data captured in standardized household surveys. Our aggregation of all published associations of wealth indices indicates a mean Spearman’s rho of 0.42 and 0.55 with income and consumption, respectively. Context-specific factors such as country development level may affect the concordance of health and educational outcomes with wealth indices and urban–rural disparities can be more pronounced using wealth indices compared to income or consumption. Synthesis of potential future uses of wealth indices suggests that it is possible to quantify wealth inequality using household assets, that the index can be used to study SES across national boundaries, and that technological innovations may soon change how asset wealth is measured. Finally, a review of alternative approaches to constructing household asset indices suggests lack of evidence of superiority for count measures, item response theory, and Mokken scale analysis, but points to evidence-based advantages for multiple correspondence analysis, polychoric PCA and predicted income. In sum, wealth indices are an equally valid, but distinct measure of household SES from income and consumption measures, and more research is needed into their potential applications for international health inequality measurement.

Suggested Citation

  • Mathieu J. P. Poirier & Karen A. Grépin & Michel Grignon, 2020. "Approaches and Alternatives to the Wealth Index to Measure Socioeconomic Status Using Survey Data: A Critical Interpretive Synthesis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 1-46, February.
  • Handle: RePEc:spr:soinre:v:148:y:2020:i:1:d:10.1007_s11205-019-02187-9
    DOI: 10.1007/s11205-019-02187-9
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    1. Booysen, Frikkie & van der Berg, Servaas & Burger, Ronelle & Maltitz, Michael von & Rand, Gideon du, 2008. "Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries," World Development, Elsevier, vol. 36(6), pages 1113-1130, June.
    2. Martin Wittenberg & Murray Leibbrandt, 2017. "Measuring Inequality by Asset Indices: A General Approach with Application to South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 706-730, December.
    3. Joshua E. Blumenstock, 2018. "Estimating Economic Characteristics with Phone Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 72-76, May.
    4. Carlo Azzarri & Gero Carletto & Benjamin Davis & Alberto Zezza, 2006. "Monitoring Poverty Without Consumption Data : An Application Using the Albania Panel Survey," Eastern European Economics, Taylor & Francis Journals, vol. 44(1), pages 59-82, February.
    5. Deon Filmer & Kinnon Scott, 2012. "Assessing Asset Indices," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 359-392, February.
    6. Diana K. L. Ngo & Luc Christiaensen, 2019. "The Performance Of A Consumption Augmented Asset Index In Ranking Households And Identifying The Poor," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 804-833, December.
    7. repec:aph:ajpbhl:10.2105/ajph.2017.303657_2 is not listed on IDEAS
    8. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    9. repec:bla:revinw:v:44:y:1998:i:4:p:565-69 is not listed on IDEAS
    10. Boyko, Jennifer A. & Lavis, John N. & Abelson, Julia & Dobbins, Maureen & Carter, Nancy, 2012. "Deliberative dialogues as a mechanism for knowledge translation and exchange in health systems decision-making," Social Science & Medicine, Elsevier, vol. 75(11), pages 1938-1945.
    11. David McKenzie, 2005. "Measuring inequality with asset indicators," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(2), pages 229-260, June.
    12. Patrick Ward, 2014. "Measuring the Level and Inequality of Wealth: An Application to China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 613-635, December.
    13. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    14. Zeller, Manfred & Houssou, Nazaire & Alcaraz V., Gabriela & Schwarze, Stefan & Johannsen, Julia, 2006. "Developing Poverty Assessment Tools Based on Principal Component Analysis: Results from Bangladesh, Kazakhstan, Uganda, and Peru," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25396, International Association of Agricultural Economists.
    15. Milo Vandemoortele, 2014. "Measuring Household Wealth with Latent Trait Modelling: An Application to Malawian DHS Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 877-891, September.
    16. Baris Ucar, 2015. "The Usability of Asset Index as an Indicator of Household Economic Status in Turkey: Comparison with Expenditure and Income Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 745-760, April.
    17. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    18. Bernard Chasekwa & John A Maluccio & Robert Ntozini & Lawrence H Moulton & Fan Wu & Laura E Smith & Cynthia R Matare & Rebecca J Stoltzfus & Mduduzi N N Mbuya & James M Tielsch & Stephanie L Martin & , 2018. "Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-19, June.
    19. Harttgen, Kenneth & Vollmer, Sebastian, 2013. "Using an asset index to simulate household income," Economics Letters, Elsevier, vol. 121(2), pages 257-262.
    20. Baris Ucar, 2015. "Erratum to: The Usability of Asset Index as an Indicator of Household Economic Status in Turkey: Comparison with Expenditure and Income Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 761-761, April.
    21. Fink, G. & Victora, C.G. & Harttgen, K. & Vollmer, S. & Vidaletti, L.P. & Barros, A.J.D., 2017. "Measuring Socioeconomic Inequalities with Predicted Absolute Incomes Rather Than Wealth Quintiles: A Comparative Assessment Using Child Stunting Data from National Surveys," American Journal of Public Health, American Public Health Association, vol. 107(4), pages 550-555.
    22. Rolf Aaberge & Ingrid Melby, 1998. "The Sensitivity Of Income Inequality To Choice Of Equivalence Scales," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(4), pages 565-569, December.
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