IDEAS home Printed from https://ideas.repec.org/p/ris/albaec/2009_003.html
   My bibliography  Save this paper

Identifying the Poorest Older Americans

Author

Listed:
  • Fisher, Johathan

    (Litigation Analytics)

  • Johnson, David

    (Census Bureau)

  • Marchand, Joseph

    () (University of Alberta, Department of Economics)

  • Smeeding, Timothy

    () (University of Wisconsin)

  • Boyle Torrey, B.

    (Population Reference Bureau)

Abstract

Objectives: Public policies generally target a subset of the population defined as poor or needy, but rarely are people poor or needy in the same way. This is particularly true among older adults, as they have fewer options to compensate for financial decisions made earlier in life. This study investigates poverty among this group in order to identify who among them is financially worst off. Methods: We use 20 years of data from the Consumer Expenditure Survey to examine the income and consumption of older Americans. Results: The poverty rate is cut in fourth if both income and consumption are used to define poverty. Those most likely to be poor using a combined measure over both income and consumption are women, widows, blacks, and renters. The income poor alone display sufficient assets to raise consumption above poverty thresholds, while the consumption poor are shown to have income just above the poverty threshold and have few assets. Discussion: The poorest among the older population are those who are income and consumption poor. Understanding the nature of this double poverty population is important in measuring the success of future public policies to reduce poverty among this group.

Suggested Citation

  • Fisher, Johathan & Johnson, David & Marchand, Joseph & Smeeding, Timothy & Boyle Torrey, B., 2009. "Identifying the Poorest Older Americans," Working Papers 2009-3, University of Alberta, Department of Economics.
  • Handle: RePEc:ris:albaec:2009_003
    as

    Download full text from publisher

    File URL: http://psychsocgerontology.oxfordjournals.org/content/64B/6/758.full.pdf
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Elliott, Graham & Pesavento, Elena, 2006. "On the Failure of Purchasing Power Parity for Bilateral Exchange Rates after 1973," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1405-1430, September.
    2. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    3. Gatu, Cristian & Kontoghiorghes, Erricos J. & Gilli, Manfred & Winker, Peter, 2008. "An efficient branch-and-bound strategy for subset vector autoregressive model selection," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1949-1963, June.
    4. Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
    5. Qu, Zhongjun & Perron, Pierre, 2007. "A Modified Information Criterion For Cointegration Tests Based On A Var Approximation," Econometric Theory, Cambridge University Press, vol. 23(04), pages 638-685, August.
    6. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
    7. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    8. Galvao Jr., Antonio F., 2009. "Unit root quantile autoregression testing using covariates," Journal of Econometrics, Elsevier, vol. 152(2), pages 165-178, October.
    9. Gatu, Cristian & Yanev, Petko I. & Kontoghiorghes, Erricos J., 2007. "A graph approach to generate all possible regression submodels," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 799-815, October.
    10. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    11. Sebastian Fossati, 2013. "Unit root testing with stationary covariates and a structural break in the trend function," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(3), pages 368-384, May.
    12. Graham Elliott & Michael Jansson & Elena Pesavento, 2005. "Optimal Power for Testing Potential Cointegrating Vectors With Known Parameters for Nonstationarity," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 34-48, January.
    13. Elena Pesavento, 2006. "Near-optimal Unit Root Test with Stationary Covariate with Better Finite Sample Size," Emory Economics 0606, Department of Economics, Emory University (Atlanta).
    14. Elliott, Graham & Jansson, Michael, 2003. "Testing for unit roots with stationary covariates," Journal of Econometrics, Elsevier, vol. 115(1), pages 75-89, July.
    15. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    16. Oke, T. & Lyhagen, J., 1999. "Small-sample properties of some tests for unit root with data-based choice of the degree of augmentation," Computational Statistics & Data Analysis, Elsevier, vol. 30(4), pages 457-469, June.
    17. Hofmann, Marc & Gatu, Cristian & Kontoghiorghes, Erricos John, 2007. "Efficient algorithms for computing the best subset regression models for large-scale problems," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 16-29, September.
    18. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    19. Ivanov Ventzislav & Kilian Lutz, 2005. "A Practitioner's Guide to Lag Order Selection For VAR Impulse Response Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-36, March.
    20. Hansen, Bruce E., 1995. "Rethinking the Univariate Approach to Unit Root Testing: Using Covariates to Increase Power," Econometric Theory, Cambridge University Press, vol. 11(05), pages 1148-1171, October.
    21. Jomana Amara & David Papell, 2006. "Testing for Purchasing Power Parity using stationary covariates," Applied Financial Economics, Taylor & Francis Journals, vol. 16(1-2), pages 29-39.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrea Brandolini & Silvia Magri & Timothy M. Smeeding, 2010. "Asset-based measurement of poverty," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 267-284.
    2. Frick, Joachim R. & Grabka, Markus M. & Smeeding, Timothy M. & Tsakloglou, Panos, 2010. "Distributional Effects of Imputed Rents in Five European Countries," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 167-179.
    3. Bruce D. Meyer & James X. Sullivan, 2012. "Identifying the Disadvantaged: Official Poverty, Consumption Poverty, and the New Supplemental Poverty Measure," Journal of Economic Perspectives, American Economic Association, vol. 26(3), pages 111-136, Summer.
    4. Marchand, J. & Smeeding, T., 2016. "Poverty and Aging," Handbook of the Economics of Population Aging, Elsevier.
      • Marchand, Joseph & Smeeding, Timothy, 2016. "Poverty and Aging," Working Papers 2016-11, University of Alberta, Department of Economics, revised 20 Nov 2016.

    More about this item

    Keywords

    poverty; consumption; income;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:albaec:2009_003. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joseph Marchand). General contact details of provider: http://edirc.repec.org/data/deualca.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.