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Survey compliance and the distribution of income

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  • Mistiaen, Johan A.
  • Ravallion, Martin

Abstract

While it is improbable that households with different incomes are equally likely to participate in sample surveys, the lack of data for nonrespondents has hindered efforts to correct for the bias in measures of poverty and inequality. The authors demonstrate how the latent income effect on survey compliance can be estimated using readily available data on response rates across geographic areas. An application using the Current Population Survey for the United States indicates that compliance falls as income rises. Correcting for selective compliance appreciably increases mean income and inequality, but has only a small impact on poverty incidence up to commonly used poverty lines in the United States.

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Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 2956.

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Date of creation: 31 Jan 2003
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Handle: RePEc:wbk:wbrwps:2956

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Related research

Keywords: Services&Transfers to Poor; Economic Theory&Research; Poverty Impact Evaluation; Poverty Monitoring&Analysis; Health Economics&Finance; Governance Indicators; Poverty Monitoring&Analysis; Safety Nets and Transfers; Inequality; Economic Theory&Research;

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References

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  1. Xavier Sala-i-Martin, 2002. "The World Distribution of Income (estimated from Individual Country Distributions)," NBER Working Papers 8933, National Bureau of Economic Research, Inc.
  2. Andrew Chesher & Christian Schluter, 2002. "Welfare Measurement and Measurement Error," Review of Economic Studies, Oxford University Press, vol. 69(2), pages 357-378.
  3. Nijman, Theo & Verbeek, Marno, 1992. "Nonresponse in Panel Data: The Impact on Estimates of a Life Cycle Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(3), pages 243-57, July-Sept.
  4. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
  5. Ravallion, Martin, 1994. "Poverty rankings using noisy data on living standards," Economics Letters, Elsevier, vol. 45(4), pages 481-485, August.
  6. van Praag, Bernard M S & Hagenaars, Aldi J M & van Eck, Wim, 1983. "The Influence of Classification and Observation Errors on the Measurement of Income Inequality," Econometrica, Econometric Society, vol. 51(4), pages 1093-108, July.
  7. Philipson, Tomas, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Wiley Blackwell, vol. 64(1), pages 47-72, January.
  8. Lee Lillard & James P. Smith & Finis Welch, 2004. "What Do We Really Know About Wages: The Importance of Nonreporting and Census Imputation," Labor and Demography 0404005, EconWPA.
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Citations

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Cited by:
  1. Healy, Andrew J. & Jitsuchon, Somchai, 2007. "Finding the poor in Thailand," Journal of Asian Economics, Elsevier, vol. 18(5), pages 739-759, October.
  2. Charlotte Guénard & Sandrine Mesplé-Somps, 2004. "Mesurer les inégalités : que captent réellement les enquêtes ? Analyse de deux enquêtes ivoirienne et malgache," Working Papers DT/2004/13, DIAL (Développement, Institutions et Mondialisation), revised Dec 2004.
  3. Angus Deaton, 2003. "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," NBER Working Papers 9822, National Bureau of Economic Research, Inc.
  4. Radwan Shaban & Hiromi Asoaka & Bob Barnes & Vladimir Drebentsov & John Langenbrunner & Sajaia Zurab & James Stevens & David Tarr & Emil Tesliuc & Olga Shabalina & Ruslan Yemtsov, 2006. "Reducing Poverty through Growth and Social Policy Reform in Russia," World Bank Publications, The World Bank, number 6955, October.
  5. Lakner, Christoph & Milanovic, Branko, 2013. "Global income distribution : from the fall of the Berlin Wall to the great recession," Policy Research Working Paper Series 6719, The World Bank.
  6. Yemtsov, Ruslan, 2003. "Quo Vadis? Inequality and Poverty Dynamics across Russian Regions," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
  7. Pinelopi K. Goldberg & Nina Pavcnik, 2004. "Trade, Inequality, and Poverty: What Do We Know? Evidence from Recent Trade Liberalization Episodes in Developing Countries," NBER Working Papers 10593, National Bureau of Economic Research, Inc.
  8. Branko Milanovic, 2006. "Global Income Inequality: What It Is And Why It Matters?," Working Papers 26, United Nations, Department of Economics and Social Affairs.
  9. Valenzuela, Ernesto & Hertel, Thomas W. & Ivanic, Maros & Nin Pratt, Alejandro, 2004. "Evaluating Poverty Impacts of Globalization and Trade Policy Changes on Agricultural Producers," 2004 Annual meeting, August 1-4, Denver, CO 20242, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  10. World Bank, 2003. "Kenya : A Policy Agenda to Restore Growth," World Bank Other Operational Studies 14363, The World Bank.
  11. Martin Ravallion, 2004. "The Debate on Globalization, Poverty and Inequality: why Measurement Matters," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 1, March.
  12. Pinelopi Koujianou Goldberg & Nina Pavcnik, 2007. "Distributional Effects of Globalization in Developing Countries," Journal of Economic Literature, American Economic Association, vol. 45(1), pages 39-82, March.
  13. Charlotte Guénard & Sandrine Mesplé-Somps, 2010. "Measuring Inequalities: Do Household Surveys Paint A Realistic Picture?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 519-538, 09.
  14. Assen Radev,, 2003. "A new vision on the distribution of income and wealth," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 101-112.
  15. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," World Bank Research Observer, World Bank Group, vol. 20(2), pages 177-199.
  16. Camelia Minoiu & Shatakshee Dhongde, 2011. "Global Poverty Estimates," IMF Working Papers 11/234, International Monetary Fund.

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