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The use and misuse of income data and extreme poverty in the United States

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  • Bruce D. Meyer

    (American Enterprise Institute)

  • Derek Wu
  • Victoria R. Mooers
  • Carla Medalia

Abstract

More than half of all misclassified households have incomes from the administrative data above the poverty line, and several of the largest misclassified groups appear to be at least middle class based on measures of material well-being. In contrast, the households kept from extreme poverty by in-kind transfers appear to be among the most materially deprived Americans.

Suggested Citation

  • Bruce D. Meyer & Derek Wu & Victoria R. Mooers & Carla Medalia, 2019. "The use and misuse of income data and extreme poverty in the United States," AEI Economics Working Papers 1018925, American Enterprise Institute.
    • Handle: RePEc:aei:rpaper:1018925
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    References listed on IDEAS

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    Cited by:

    1. Jeff Larrimore & Jake Mortenson & David Splinter, 2020. "Presence and Persistence of Poverty in US Tax Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 383-409, National Bureau of Economic Research, Inc.
    2. Jeehoon Han & Bruce D. Meyer & James X. Sullivan, 2020. "Income and Poverty in the COVID-19 Pandemic," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 85-118.
    3. Dean Jolliffe & Juan Margitic & Martin Ravallion, 2019. "Food Stamps and America’s Poorest," NBER Working Papers 26025, National Bureau of Economic Research, Inc.
    4. Theloudis, Alexandros, 2021. "Consumption inequality across heterogeneous families," European Economic Review, Elsevier, vol. 136(C).
    5. Gaetano Basso & Giovanni Peri, 2020. "Internal Mobility: The Greater Responsiveness of Foreign-Born to Economic Conditions," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 77-98, Summer.
    6. James X. Sullivan, 2020. "Another Plea for Caution When Using Survey Income Data From the Far-Left Tail," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2377-2381, December.
    7. Yixia Cai & Timothy Smeeding, 2019. "Deep and Extreme Child Poverty in Rich and Poor Nations: Lessons from Atkinson for the Fight Against Child Poverty," LIS Working papers 780, LIS Cross-National Data Center in Luxembourg.
    8. James X. Sullivan, 2020. "A Cautionary Tale of Using Data From the Tail," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2361-2368, December.
    9. Meyer, Bruce D. & Mittag, Nikolas, 2021. "An empirical total survey error decomposition using data combination," Journal of Econometrics, Elsevier, vol. 224(2), pages 286-305.
    10. John Iceland & Claire Kovach & John Creamer, 2021. "Poverty and the Incidence of Material Hardship, Revisited," Social Science Quarterly, Southwestern Social Science Association, vol. 102(1), pages 585-617, January.
    11. David Brady & Zachary Parolin, 2020. "Further Analyses Reinforce Our Conclusions About Extreme Poverty," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2369-2376, December.
    12. Yixia Cai & Timothy Smeeding, 2020. "Deep and Extreme Child Poverty in Rich and Poor Nations: Lessons from Atkinson for the Fight Against Child Poverty," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(1), pages 109-128, March.

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    More about this item

    Keywords

    Poverty; household income;

    JEL classification:

    • A - General Economics and Teaching

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