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Estimating expenditure impacts without expenditure data using asset proxies

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  • Martin Wittenberg

    ()
    (School of Economics, University of Cape Town)

Abstract

When asset indices are used in regressions the coefficients obtained are typically difficult to interpret. We show how lower bounds on expenditure effects can be extracted, if the relationship between the assets and expenditure can be calibrated on an auxiliary data set.

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Bibliographic Info

Paper provided by Southern Africa Labour and Development Research Unit, University of Cape Town in its series SALDRU Working Papers with number 29.

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Length: 12 pages
Date of creation: Feb 2009
Date of revision:
Handle: RePEc:ldr:wpaper:29

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Keywords: asset index; proxy variables; attenuation; obesity;

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References

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  1. Wittenberg, Martin, 2007. "Testing for a common latent variable in a linear regression," MPRA Paper 2550, University Library of Munich, Germany.
  2. Christina Paxson & Norbert Schady, 2007. "Cognitive Development among Young Children in Ecuador: The Roles of Wealth, Health, and Parenting," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
  3. David McKenzie, 2005. "Measuring inequality with asset indicators," Journal of Population Economics, Springer, Springer, vol. 18(2), pages 229-260, 06.
  4. Mark Montgomery & Michele Gragnolati & Kathleen Burke & Edmundo Paredes, 2000. "Measuring living standards with proxy variables," Demography, Springer, Springer, vol. 37(2), pages 155-174, May.
  5. Ainsworth, Martha & Filmer, Deon, 2006. "Inequalities in children's schooling: AIDS, orphanhood, poverty, and gender," World Development, Elsevier, vol. 34(6), pages 1099-1128, June.
  6. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, Econometric Society, vol. 71(1), pages 355-364, January.
  7. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
  8. Filmer, Deon & Pritchett, Lant, 1998. "Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India," Policy Research Working Paper Series 1994, The World Bank.
  9. Popkin, Barry M., 1999. "Urbanization, Lifestyle Changes and the Nutrition Transition," World Development, Elsevier, vol. 27(11), pages 1905-1916, November.
  10. Darren Lubotsky & Martin Wittenberg, 2001. "Interpretation of Regressions with Multiple Proxies," Working Papers 836, Princeton University, Department of Economics, Industrial Relations Section..
  11. Boyle, Michael H. & Racine, Yvonne & Georgiades, Katholiki & Snelling, Dana & Hong, Sungjin & Omariba, Walter & Hurley, Patricia & Rao-Melacini, Purnima, 2006. "The influence of economic development level, household wealth and maternal education on child health in the developing world," Social Science & Medicine, Elsevier, vol. 63(8), pages 2242-2254, October.
  12. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer, Springer, vol. 38(1), pages 115-132, February.
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Cited by:
  1. Nic Baigrie & Katherine Eyal, 2013. "An evaluation of the determinants and implications of panel attrition in the National Income Dynamics Survey (2008 – 2010)," SALDRU Working Papers, Southern Africa Labour and Development Research Unit, University of Cape Town 103, Southern Africa Labour and Development Research Unit, University of Cape Town.
  2. Martin Wittenberg, 2011. "The Weight of Success: The Body Mass Index and Economic Well-being in South Africa," SALDRU Working Papers, Southern Africa Labour and Development Research Unit, University of Cape Town 65, Southern Africa Labour and Development Research Unit, University of Cape Town.

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