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Well‐Being, Deprivation, and the Great Recession in the U.S.: A Study in A Multidimensional Framework

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  • Shatakshee Dhongde
  • Prasanta K. Pattanaik
  • Yongsheng Xu

Abstract

We study changes in social well‐being and deprivation in the U.S. during the Great Recession and the subsequent recovery. We outline an analytical framework for measuring well‐being and deprivation in a multidimensional fashion when data on achievement in each dimension is assumed to be ordinal and binary in nature. We use data from the American Community Survey between 2008 and 2015 and find that there was a decline in social well‐being and a rise in social deprivation in the U.S. during the recession followed by a reversal of trends during the recovery. Despite low deprivation levels among the White population, this population experienced the largest increase in deprivation during the recession and the least decline in deprivation in the recovery period. These results underscore the fact that the impact of recession and the subsequent recovery varied significantly across population groups.

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  • Shatakshee Dhongde & Prasanta K. Pattanaik & Yongsheng Xu, 2019. "Well‐Being, Deprivation, and the Great Recession in the U.S.: A Study in A Multidimensional Framework," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 281-306, November.
    • Handle: RePEc:bla:revinw:v:65:y:2019:i:s1:p:s281-s306
    DOI: 10.1111/roiw.12411
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    References listed on IDEAS

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    1. Shatakshee Dhongde & Yi Li & Prasanta K. Pattanaik & Yongsheng Xu, 2016. "Binary data, hierarchy of attributes, and multidimensional deprivation," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(4), pages 363-378, December.
    2. Angus Deaton, 2008. "Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 53-72, Spring.
    3. Lucio Esposito & Enrica Chiappero Martinetti, 2010. "Multidimensional poverty: Restricted and unrestricted hierarchy among poverty dimensions," Journal of Applied Economics, Universidad del CEMA, vol. 13, pages 181-204, November.
    4. 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.
    5. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
    6. Besharov, Douglas J. & Couch, Kenneth A. (ed.), 2012. "Counting the Poor: New Thinking About European Poverty Measures and Lessons for the United States," OUP Catalogue, Oxford University Press, number 9780199860586.
    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. Blackorby, Charles & Bossert, Walter & Donaldson, David, 2002. "Utilitarianism and the theory of justice," Handbook of Social Choice and Welfare, in: K. J. Arrow & A. K. Sen & K. Suzumura (ed.), Handbook of Social Choice and Welfare, edition 1, volume 1, chapter 11, pages 543-596, Elsevier.
    9. Kai-yuen Tsui, 2002. "Multidimensional poverty indices," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 19(1), pages 69-93.
    10. 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.
    11. Prasanta K. Pattanaik & Sanjay G. Reddy & Yongsheng Xu, 2012. "On measuring deprivation and living standards of societies in a multi-attribute framework," Oxford Economic Papers, Oxford University Press, vol. 64(1), pages 43-56, January.
    12. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-997, July.
    13. 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.
    14. repec:bla:econom:v:70:y:2003:i:278:p:197-221 is not listed on IDEAS
    15. Samuelson, Paul A, 1974. "Complementarity-An Essay on the 40th Anniversary of the Hicks-Allen Revolution in Demand Theory," Journal of Economic Literature, American Economic Association, vol. 12(4), pages 1255-1289, December.
    16. Scott F. Richard, 1975. "Multivariate Risk Aversion, Utility Independence and Separable Utility Functions," Management Science, INFORMS, vol. 22(1), pages 12-21, September.
    17. 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.
    18. Prasanta K. Pattanaik & Yongsheng Xu, 2018. "On Measuring Multidimensional Deprivation," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 657-672, June.
    19. Permanyer, Iñaki, 2014. "Assessing individuals' deprivation in a multidimensional framework," Journal of Development Economics, Elsevier, vol. 109(C), pages 1-16.
    20. Eliana Viviano & Andrea Brandolini, 2018. "Measuring employment and unemployment," IZA World of Labor, Institute of Labor Economics (IZA), pages 445-445, August.
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    4. Shatakshee Dhongde & Robert Haveman, 2022. "Spatial and Temporal Trends in Multidimensional Poverty in the United States over the Last Decade," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 447-472, August.

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