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Estimating expenditure impacts without expenditure data using asset proxies

  • Martin Wittenberg

    ()

    (School of Economics, University of Cape Town)

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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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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  1. 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.
  2. 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.
  3. Darren Lubotsky & Martin Wittenberg, 2006. "Interpretation of Regressions with Multiple Proxies," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 549-562, August.
  4. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
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  6. Christina Paxson & Norbert Schady, 2005. "Cognitive Development Among Young Children in Ecuador: The Roles of Wealth, Health and Parenting," Working Papers 239, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
  7. David McKenzie, 2005. "Measuring inequality with asset indicators," Journal of Population Economics, Springer, vol. 18(2), pages 229-260, 06.
  8. Mark Montgomery & Michele Gragnolati & Kathleen Burke & Edmundo Paredes, 2000. "Measuring living standards with proxy variables," Demography, Springer, vol. 37(2), pages 155-174, May.
  9. 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.
  10. 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.
  11. Wittenberg, Martin, 2007. "Testing for a common latent variable in a linear regression," MPRA Paper 2550, University Library of Munich, Germany.
  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, vol. 38(1), pages 115-132, February.
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