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Why are households that report the lowest incomes so well-off

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  • Brewer, M
  • Etheridge, Ben
  • O'Dea, C

Abstract

Using data from the Living Costs and Food Survey in the UK over 1978-2009 we document that households with extremely low measured income (below 10% of median income) on average spend much more than those with merely moderately low income (those below 50% of median income): in short, the graph of median expenditure against income contains a sharp non-monotonicity (or `tick'). We show that this tick appears, to a greater or lesser extent, over the whole period and across different employment states, levels of education and marital statuses. Of the likely explanations, we provide several arguments that discount over-reporting of expenditure and argue that under-reporting of income plays the major role. In particular, by using a dynamic model of consumption and saving, and paying special attention to poverty dynamics, we show that consumption smoothing cannot explain all the apparent dissaving. Finally, and whatever the reason for the tick, we document that low consumption is better correlated with other measures of living standards than having low income.

Suggested Citation

  • Brewer, M & Etheridge, Ben & O'Dea, C, 2013. "Why are households that report the lowest incomes so well-off," Economics Discussion Papers 8993, University of Essex, Department of Economics.
  • Handle: RePEc:esx:essedp:8993
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    References listed on IDEAS

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    1. Poterba, James M, 1989. "Lifetime Incidence and the Distributional Burden of Excise Taxes," American Economic Review, American Economic Association, vol. 79(2), pages 325-330, May.
    2. Andrew Barnard & Steve Howell & Robert Smith, 2011. "The effects of taxes and benefits on household income, 2009/10 ‐ Further analysis and methodology," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 5(6), pages 1-95, June.
    3. Angus Deaton, 2005. "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 1-19, February.
    4. Mark Aguiar & Mark Bils, 2015. "Has Consumption Inequality Mirrored Income Inequality?," American Economic Review, American Economic Association, vol. 105(9), pages 2725-2756, September.
    5. Bruce D. Meyer & James X. Sullivan, 2003. "Measuring the Well-Being of the Poor Using Income and Consumption," NBER Working Papers 9760, National Bureau of Economic Research, Inc.
    6. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
    7. Richard Bavier, 2008. "Reconciliation of income and consumption data in poverty measurement," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 40-62.
    8. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    9. Matthew Brzozowski & Thomas F. Crossley, 2011. "Viewpoint: Measuring the well‐being of the poor with income or consumption: a Canadian perspective," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(1), pages 88-106, February.
    10. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    11. Storesletten, Kjetil & Telmer, Christopher I. & Yaron, Amir, 2004. "Consumption and risk sharing over the life cycle," Journal of Monetary Economics, Elsevier, vol. 51(3), pages 609-633, April.
    12. Jenkins, Stephen P., 2011. "Changing Fortunes: Income Mobility and Poverty Dynamics in Britain," OUP Catalogue, Oxford University Press, number 9780199226436, Decembrie.
    13. Browning, Martin & Crossley, Thomas F., 2001. "Unemployment insurance benefit levels and consumption changes," Journal of Public Economics, Elsevier, vol. 80(1), pages 1-23, April.
    14. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    15. Peter Lynn & Annette Jäckle & Stephen P. Jenkins & Emanuela Sala, 2012. "The impact of questioning method on measurement error in panel survey measures of benefit receipt: evidence from a validation study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 289-308, January.
    16. Garry Barrett & Peter Levell & Kevin Milligan, 2014. "A Comparison of Micro and Macro Expenditure Measures across Countries Using Differing Survey Methods," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 263-286, National Bureau of Economic Research, Inc.
    17. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    18. John Sabelhaus & Jeffrey A. Groen, 2000. "Can Permanent-Income Theory Explain Cross-Sectional Consumption Patterns?," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 431-438, August.
    19. Mike Brewer & Cormac O'Dea, 2012. "Measuring living standards with income and consumption: evidence from the UK," IFS Working Papers W12/12, Institute for Fiscal Studies.
    20. Slesnick, Daniel T, 1993. "Gaining Ground: Poverty in the Postwar United States," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 1-38, February.
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