524
Views
0
CrossRef citations to date
0
Altmetric
Articles

Patterns of Multidimensional Poverty in the United States

&
Pages 387-407 | Received 01 Aug 2021, Accepted 07 Apr 2023, Published online: 06 Nov 2023

References

  • Alkire, S., and J. Foster. 2011. Counting and multidimensional poverty measurement. Journal of Public Economics 95 (7–8):476–87. doi: 10.1016/j.jpubeco.2010.11.006.
  • Alkire, S., J. Foster, S. Seth, M. E. Santos, J. Manuel Roche, and P. Ballón. 2015. Multidimensional poverty measurement and analysis. Oxford, UK: Oxford University Press.
  • Alkire, S., and M. E. Santos. 2010. Multidimensional Poverty Index 2010. Oxford, UK: Oxford Poverty & Human Development Initiative.
  • Batavia, A. I., and R. L. Beaulaurier. 2001. the financial vulnerability of people with disabilities: Assessing poverty risks. Journal of Sociology and Social Welfare 28 (1):139–62.
  • Betti, G., F. Gagliardi, and V. Verma. 2018. Simplified jackknife variance estimates for fuzzy measures of multidimensional poverty. International Statistical Review 86 (1):68–86. doi: 10.1111/insr.12219.
  • Blake, K. S., R. L. Kellerson, and A. Simic. 2007. Measuring overcrowding in housing. Bethesda, MD: Econometrica.
  • Bollinger, C. R., B. T. Hirsch, C. M. Hokayem, and J. P. Ziliak. 2019. Trouble in the tails? What we know about earnings nonresponse 30 years after Lillard, Smith, and Welch. Journal of Political Economy 127 (5):2143–85. doi: 10.1086/701807.
  • Brucker, D. L., S. Mitra, N. Chaitoo, and J. Mauro. 2015. More likely to be poor whatever the measure: Working-age persons with disabilities in the United States. Social Science Quarterly 96 (1):273–96. doi: 10.1111/ssqu.12098.
  • Callan, T., B. Nolan, and C. T. Whelan. 1993. Resources, deprivation and the measurement of poverty. Journal of Social Policy 22 (2):141–72. doi: 10.1017/S0047279400019280.
  • Chen, K.-M., C.-H. Leu, and T.-M. Wang. 2019. Measurement and determinants of multidimensional poverty: Evidence from Taiwan. Social Indicators Research 145 (2):459–78. doi: 10.1007/s11205-019-02118-8.
  • Citro, C. F., and R. T. Michael, eds. 1995. Measuring poverty: A new approach. Washington, DC: National Academy Press.
  • Ciula, R., and C. Skinner. 2015. Income and beyond: Taking the measure of child deprivation in the United States. Child Indicators Research 8 (3):491–515. doi: 10.1007/s12187-014-9246-6.
  • Cutter, S. L., B. J. Boruff, and W. L. Shirley. 2003. Social vulnerability to environmental hazards. Social Science Quarterly 84 (2):242–61. doi: 10.1111/1540-6237.8402002.
  • Dhongde, S. 2017. Assessing multidimensional deprivation among the elderly in the USA. In Measuring multidimensional poverty and deprivation: Incidence and determinants in developed countries, ed. R. White, 255–70. London: Palgrave Macmillan.
  • Dhongde, S., and R. Haveman. 2017. Multi-dimensional deprivation in the US. Social Indicators Research 133 (2):477–500. doi: 10.1007/s11205-016-1379-1.
  • Dhongde, S., P. K. Pattanaik, and Y. Xu. 2019. Well-being, deprivation, and the great recession in the U.S.: A study in a multidimensional framework. Review of Income and Wealth 65 (Suppl. 1):S281–S306. doi: 10.1111/roiw.12411.
  • Dietz, R. D. 2002. The estimation of neighborhood effects in the social sciences: An interdisciplinary approach. Social Science Research 31 (4):539–75. doi: 10.1016/S0049-089X(02)00005-4.
  • Erickson, W. 2012. A guide to disability statistics from the American Community Survey (2008 forward). Ithaca, NY: Employment and Disability Institute, Cornell University.
  • Evans, M., R. Nogales, and M. Robson. 2020. Monetary and multidimensional poverty: Correlations, mismatches and joint distributions. OPHI Working Paper 133, University of Oxford, Oxford, UK.
  • Folch, D. C., D. Arribas-Bel, J. Koschinsky, and S. E. Spielman. 2016. Spatial variation in the quality of American Community Survey estimates. Demography 53 (5):1535–54. doi: 10.1007/s13524-016-0499-1.
  • Foster, J. E. 2007. A report on Mexican multidimensional poverty measurement. Oxford, UK: Oxford Poverty & Human Development Initiative.
  • Fowler, C. S., N. Frey, D. C. Folch, N. Nagle, and S. Spielman. 2020. Who are the people in my neighborhood?: The “contextual fallacy” of measuring individual context with census geographies. Geographical Analysis 52 (2):155–68. doi: 10.1111/gean.12192.
  • Glaeser, E. L. 2011. Measuring local poverty rates. In Cost of living and the supplemental poverty measure, ed. J. P. Ziliak, 34–42. Lexington: University of Kentucky Center for Poverty Research.
  • Glassman, B. 2017. A multidimensional poverty measure using the American Community Survey. Washington, DC: U.S. Census Bureau.
  • Glassman, B. 2019. Multidimensional deprivation in the United States, 2017. Washington, DC: U.S. Census Bureau.
  • Glassman, B. 2020. The multidimensional deprivation index using different neighborhood quality definitions. SEHSD Working Paper Number 2020-08. U.S. Census Bureau.
  • Gradín, C., O. Cantó, and C. Del Río. 2017. Measuring employment deprivation in the EU using a household-level index. Review of Economics of the Household 15 (2):639–67. doi: 10.1007/s11150-014-9248-7.
  • Hajat, A., A. V. Diez-Roux, S. D. Adar, A. H. Auchincloss, G. S. Lovasi, M. S. O’Neill, L. Sheppard, and J. D. Kaufman. 2013. Air pollution and individual and neighborhood socioeconomic status: Evidence from the Multi-Ethnic Study of Atherosclerosis (MESA). Environmental Health Perspectives 121 (11–12):1325–33. doi: 10.1289/ehp.1206337.
  • Horton, R. 2020. Offline: COVID-19 is not a pandemic. Lancet 396 (10255):874. doi: 10.1016/S0140-6736(20)32000-6.
  • Jensen, L., and T. Slack. 2003. Underemployment in America: Measurement and evidence. American Journal of Community Psychology 32 (1–2):21–31. doi: 10.1023/a:1025686621578.
  • Koohi-Kamali, F., and R. Liu. 2017. US multidimensional poverty by race, ethnicity and motherhood: Evidence from Pennsylvania census data. In Measuring multidimensional poverty and deprivation: Incidence and determinants in developed countries, ed. R. White, 223–54. London: Palgrave Macmillan.
  • Kratzer, N. 2018. A multidimensional poverty index for the United States. PhD thesis, University of Kentucky.
  • Kuroki, M. 2021. The effect of health insurance coverage on personal bankruptcy: Evidence from the Medicaid expansion. Review of Economics of the Household 19 (2):429–51. doi: 10.1007/s11150-020-09492-0.
  • Lucchini, M., C. Butti, S. Della Bella, and A. Lisi. 2018. The application of a topological clustering technique to capture forms and dynamics of deprivation in contemporary Switzerland. Quality & Quantity 52 (1):227–48. doi: 10.1007/s11135-016-0464-5.
  • Mitra, S., and D. L. Brucker. 2017. Income poverty and multiple deprivations in a high-income country: The case of the United States. Social Science Quarterly 98 (1):37–56. doi: 10.1111/ssqu.12291.
  • Moen, P. 1980. Measuring unemployment: Family considerations. Human Relations 33 (3):183–92. doi: 10.1177/001872678003300303.
  • Montoya, Á. J. A., and K. M. D. Teixeira. 2017. Multidimensional poverty in Nicaragua: Are female-headed households better off? Social Indicators Research 132 (3):1037–63. doi: 10.1007/s11205-016-1345-y.
  • Narayan, D., R. Patel, K. Schafft, A. Rademacher, and S. Koch-Schulte. 2000. Voices of the poor: Can anyone hear us? Oxford, UK: Oxford University Press.
  • Noble, M., G. Wright, G. Smith, and C. Dibben. 2006. Measuring multiple deprivation at the small-area level. Environment and Planning A: Economy and Space 38 (1):169–85. doi: 10.1068/a37168.
  • Orshansky, M. 1965. Counting the poor: Another look at the poverty profile. Social Security Bulletin 28:3–29.
  • Reeves, R., E. Rodrigue, and E. Kneebone. 2016. Five evils: Multidimensional poverty and race in America.  Washington, DC: Brookings Institution.
  • Renwick, T. J. 2011. Geographic adjustments of supplemental poverty measure thresholds: Using the American Community Survey Five-Year data on housing costs. Washington, DC: U.S. Census Bureau.
  • Renwick, T. J., E. B. Figueroa, and B. H. Aten. 2017. Supplemental poverty measure: A comparison of geographic adjustments with regional price parities vs. median rents from the American Community Survey: An update. Washington, DC: U.S. Census Bureau.
  • Rouse, C. E., and L. Barrow. 2006. U.S. elementary and secondary schools: Equalizing opportunity or replicating the status quo? The Future of Children 16 (2):99–123. doi: 10.1353/foc.2006.0018.
  • Shamsuddin, S., and C. Campbell. 2022. Housing cost burden, material hardship, and well-being. Housing Policy Debate 32 (3):413–32. doi: 10.1080/10511482.2021.1882532.
  • Sommers, B. D., A. A. Gawande, and K. Baicker. 2017. Health insurance coverage and health—What the recent evidence tells us. The New England Journal of Medicine 377 (6):586–93. doi: 10.1056/NEJMsb1706645.
  • Spielman, S. E., and A. Singleton. 2015. Studying neighborhoods using uncertain data from the American Community Survey: A contextual approach. Annals of the Association of American Geographers 105 (5):1003–25. doi: 10.1080/00045608.2015.1052335.
  • Spielman, S. E., J. Tuccillo, D. C. Folch, A. Schweikert, R. Davies, N. Wood, and E. Tate. 2020. Evaluating social vulnerability indicators: Criteria and their application to the social vulnerability index. Natural Hazards 100 (1):417–36. doi: 10.1007/s11069-019-03820-z.
  • Stiglitz, J. E., A. Sen, and J.-P. Fitoussi. 2009. Report by the Commission on the Measurement of Economic Performance and Social Progress, Paris.
  • Sumner, A. 2010. Global poverty and the new bottom billion: What if three-quarters of the world’s poor live in middle-income countries? IDS Working Papers 2010 (349):1–43. doi: 10.1111/j.2040-0209.2010.00349_2.x.
  • U.S. Bureau of Labor Statistics. 2020. Learn more, earn more: Education leads to higher wages, lower unemployment. Washington, DC: U.S. Bureau of Labor Statistics.
  • U.S. Census Bureau. 2017. American Community Survey: Item allocation rates. https://www.census.gov/acs/www/methodology/sample-size-and-data-quality/item-allocation-rates/.
  • U.S. Department of Housing and Urban Development. 2014. Rental burdens: Rethinking affordability measures. The Edge. https://www.huduser.gov/portal/pdredge/pdr_edge_featd_article_092214.html
  • VanderWielen, L. M., A. S. Enurah, H. Y. Rho, D. R. Nagarkatti-Gude, P. Michelsen-King, S. H. Crossman, and A. A. Vanderbilt. 2014. Medical interpreters: Improvements to address access, equity, and quality of care for limited-English-proficient patients. Academic Medicine 89 (10):1324–27. doi: 10.1097/ACM.0000000000000296.
  • Waglé, U. R. 2008. Multidimensional poverty: An alternative measurement approach for the United States? Social Science Research 37 (2):559. doi: 10.1016/j.ssresearch.2007.06.013.
  • Waglé, U. R. 2014. The counting-based measurement of multidimensional poverty: The focus on economic resources, inner capabilities, and relational resources in the United States. Social Indicators Research 115 (1):223–40. doi: 10.1007/s11205-012-0216-4.
  • White, R., and T. Bailleul. 2019. Multidimensional poverty across the life cycle: The United States as an empirical example. In Routledge international handbook of poverty, ed. B. Greve, 49–66. London and New York: Taylor & Francis.
  • White, R., and S. Yamasaki. 2017. Multidimensional poverty among the native- and foreign-born in the United States: Evidence from the 2010–2014 American Community Surveys. In Measuring multidimensional poverty and deprivation: Incidence and determinants in developed countries, ed. R. White, 183–222. London: Palgrave Macmillan.
  • Wilson, J. H. 2014. Investing in English skills: The limited English proficient workforce in U.S. metropolitan areas. Washington, DC: The Brookings Institution.
  • Wilson, S. M., H. Fraser-Rahim, E. Williams, H. Zhang, L. Rice, E. Svendsen, and W. Abara. 2012. Assessment of the distribution of toxic release inventory facilities in metropolitan Charleston: An environmental justice case study. American Journal of Public Health 102 (10):1974–80. doi: 10.2105/AJPH.2012.300700.
  • Wong, D. W. S., and Y. Li. 2020. Spreading of COVID-19: Density matters. PLoS ONE 15 (12):e0242398. doi: 10.1371/journal.pone.0242398.
  • Yu, R. P., N. B. Ellison, R. J. McCammon, and K. M. Langa. 2016. Mapping the two levels of digital divide: Internet access and social network site adoption among older adults in the USA. Information, Communication & Society 19 (10):1445–64. doi: 10.1080/1369118X.2015.1109695.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.