IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Global Poverty Estimates: A Sensitivity Analysis

  • Dhongde, Shatakshee
  • Minoiu, Camelia

Current estimates of global poverty vary substantially across studies. We undertake a sensitivity analysis to highlight the importance of methodological choices by measuring global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0305750X1200304X
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal World Development.

Volume (Year): 44 (2013)
Issue (Month): C ()
Pages: 1-13

as
in new window

Handle: RePEc:eee:wdevel:v:44:y:2013:i:c:p:1-13
Contact details of provider: Web page: http://www.elsevier.com/locate/worlddev

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Ahluwalia, Montek S. & Carter, Nicholas G. & Chenery, Hollis B., 1979. "Growth and poverty in developing countries," Journal of Development Economics, Elsevier, vol. 6(3), pages 299-341, August.
  2. Stephan Klasen, 2009. "Levels and Trends in Absolute Poverty in the World: What we know and what we don’t," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 11, Courant Research Centre PEG.
  3. Ravallion, Martin & Chen, Shaohua, 1997. "What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?," World Bank Economic Review, World Bank Group, vol. 11(2), pages 357-82, May.
  4. François Bourguignon, 2005. "Comment on "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)" by Angus Deaton," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 20-22, February.
  5. Angus Deaton, 2008. "Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 53-72, Spring.
  6. Ravallion, Martin, 1996. "Issues in measuring and modeling poverty," Policy Research Working Paper Series 1615, The World Bank.
  7. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
  8. Angus Deaton, 2003. "Household Surveys, Consumption, and the Measurement of Poverty," Economic Systems Research, Taylor & Francis Journals, vol. 15(2), pages 135-159.
  9. Villasenor, JoseA. & Arnold, Barry C., 1989. "Elliptical Lorenz curves," Journal of Econometrics, Elsevier, vol. 40(2), pages 327-338, February.
  10. 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.
  11. Florent Bresson, 2009. "On The Estimation Of Growth And Inequality Elasticities Of Poverty With Grouped Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 266-302, 06.
  12. Miguel Székely & Nora Lustig & Martin Cumpa & José Antonio Mejía-Guerra, 2000. "Do We Know How Much Poverty There Is?," Research Department Publications 4239, Inter-American Development Bank, Research Department.
  13. Surjit Bhalla, 2002. "Imagine There's No Country: Poverty, Inequality, and Growth in the Era of Globalization," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 348, December.
  14. Angus Deaton, 2004. "Measuring poverty in a growing world (or measuring growth in a poor world)," Working Papers 178, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
  15. Lynge Nielsen, 2009. "Global Relative Poverty," IMF Working Papers 09/93, International Monetary Fund.
  16. Angus Deaton & Olivier Dupriez, 2011. "Purchasing Power Parity Exchange Rates for the Global Poor," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 137-66, April.
  17. Shaohua Chen & Datt, Gaurav & Ravallion, Martin, 1993. "Is poverty increasing in the developing world?," Policy Research Working Paper Series 1146, The World Bank.
  18. Ravallion, Martin & Chen, Shaohua & Sangraula, Prem, 2008. "Dollar a day revisited," Policy Research Working Paper Series 4620, The World Bank.
  19. Shatakshee Dhongde & Camelia Minoiu, 2010. "Global poverty estimates: Present and future," Working Papers 181, ECINEQ, Society for the Study of Economic Inequality.
  20. Xavier Sala-i-Martin, 2006. "The World Distribution of Income: Falling Poverty and ... Convergence, Period," The Quarterly Journal of Economics, MIT Press, vol. 121(2), pages 351-397, May.
  21. Camelia Minoiu & Sanjay Reddy, 2008. "Kernel Density Estimation Basedon Grouped Data; The Case of Poverty Assessment," IMF Working Papers 08/183, International Monetary Fund.
  22. Ravallion, Martin, 2001. "Measuring aggregate welfare in developing countries - How well do national accounts and surveys agree?," Policy Research Working Paper Series 2665, The World Bank.
  23. Angus Deaton, 2005. "ERRATUM: Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 395-395, May.
  24. Ravallion, Martin & Chen, Shaohua, 2009. "Weakly relative poverty," Policy Research Working Paper Series 4844, The World Bank.
  25. Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-70, September.
  26. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
  27. Shaohua Chen & Martin Ravallion, 2013. "More Relatively-Poor People in a Less Absolutely-Poor World," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(1), pages 1-28, 03.
  28. Kakwani, Nanak, 1980. "On a Class of Poverty Measures," Econometrica, Econometric Society, vol. 48(2), pages 437-46, March.
  29. Ben Jann, 2005. "KDENS: Stata module for univariate kernel density estimation," Statistical Software Components S456410, Boston College Department of Economics, revised 26 May 2008.
  30. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," Journal of Economic Inequality, Springer, vol. 4(1), pages 33-55, April.
  31. Angus Deaton, 2010. "Price Indexes, Inequality, and the Measurement of World Poverty," American Economic Review, American Economic Association, vol. 100(1), pages 5-34, March.
  32. Chen, Shaohua & Ravallion, Martin, 2008. "The developing world is poorer than we thought, but no less successful in the fight against poverty," Policy Research Working Paper Series 4703, The World Bank.
  33. Shaohua Chen & Ravallion, Martin, 2000. "How did the world's poorest fare in the 1990s ?," Policy Research Working Paper Series 2409, The World Bank.
  34. Mistiaen, Johan A. & Ravallion, Martin, 2003. "Survey compliance and the distribution of income," Policy Research Working Paper Series 2956, The World Bank.
  35. Undp, 2010. "HDR 2010 - The Real Wealth of Nations: Pathways to Human Development," Human Development Report (1990 to present), Human Development Report Office (HDRO), United Nations Development Programme (UNDP), number hdr2010.
  36. Shaohua Chen & Martin Ravallion, 2004. "How Have the World's Poorest Fared since the Early 1980s?," World Bank Research Observer, World Bank Group, vol. 19(2), pages 141-169.
  37. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2009. "Parametric Estimations of the World Distribution of Income," NBER Working Papers 15433, National Bureau of Economic Research, Inc.
  38. Ravallion, Martin & Datt, Gaurav & van de Walle, Dominique, 1991. "Quantifying Absolute Poverty in the Developing World," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 37(4), pages 345-61, December.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:wdevel:v:44:y:2013:i:c:p:1-13. 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: (Zhang, Lei)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.