Poverty Comparisons With Absolute Poverty Lines Estimated From Survey Data
The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data, both the variance of the poverty line and the variance of the welfare metric contribute to the variance of the poverty estimate. In contrast, studies using absolute poverty lines have ignored the poverty line variance, even when the poverty lines are estimated from sample survey data. Including the poverty line variance could either reduce or increase the precision of poverty estimates, depending on the specific characteristics of the data. This paper presents a general procedure for estimating the standard error of poverty measures when the poverty line is estimated from survey data. Based on bootstrap methods, the approach can be used for a wide range of poverty measures and methods for estimating poverty lines. The method is applied to recent household survey data from Mozambique. When the sampling variance of the poverty line is taken into account, the estimated standard errors of Foster-Greer-Thorbecke and Watts poverty measures increase by 15-30 percent at the national level, with considerable variability at lower levels of aggregation. Copyright 2007 The Authors; Journal compilation International Association for Research in Income and Wealth 2007.
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.
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.
Volume (Year): 53 (2007)
Issue (Month): 2 (06)
|Contact details of provider:|| Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6586|
More information through EDIRC
|Order Information:||Web: http://www.blackwellpublishing.com/subs.asp?ref=0034-6586|
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.:
- Russell Davidson & Jean-Yves Duclos, 2000.
"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,"
Econometric Society, vol. 68(6), pages 1435-1464, November.
- Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
- Davidson, R. & Duclos, J.-Y., 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," G.R.E.Q.A.M. 98a14, Universite Aix-Marseille III.
- Gibson, John & Rozelle, Scott, 2003. "Poverty and Access to Roads in Papua New Guinea," Economic Development and Cultural Change, University of Chicago Press, vol. 52(1), pages 159-85, October.
- Ravallion, Martin & Bidani, Benu, 1993.
"How robust is a poverty profile?,"
Policy Research Working Paper Series
1223, The World Bank.
- Kakwani, Nanak, 1993. "Statistical Inference in the Measurement of Poverty," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 632-39, November.
- Fafchamps, Marcel & Quisumbing, Agnes R., 1999. "Social roles, human capital, and the intrahousehold division of labor," FCND discussion papers 73, International Food Policy Research Institute (IFPRI).
- repec:sae:ecolab:v:16:y:2006:i:2:p:1-2 is not listed on IDEAS
- Haddad, Lawrence James & Adato, Michelle, 2001.
"How effectively do public works programs transfer benefits to the poor?,"
FCND discussion papers
108, International Food Policy Research Institute (IFPRI).
- Haddad, Lawrence James & Adato, Michelle, 2001. "How effectively do public works programs transfer benefits to the poor?," FCND briefs 108, International Food Policy Research Institute (IFPRI).
- Datt, Gaurav & Jolliffe, Dean, 2005. "Poverty in Egypt: Modeling and Policy Simulations," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 327-46, January.
- Tarp, Finn & Simler, Kenneth & Matusse, Cristina & Heltberg, Rasmus & Dava, Gabriel, 2002.
"The robustness of poverty profiles reconsidered,"
124, International Food Policy Research Institute (IFPRI).
- Bishop, John A & Chow, K Victor & Zheng, Buhong, 1995. "Statistical Inference and Decomposable Poverty Measures," Bulletin of Economic Research, Wiley Blackwell, vol. 47(4), pages 329-40, October.
- Ravallion, Martin & Lokshin, Michael, 2003. "On the utility consistency of poverty lines," Policy Research Working Paper Series 3157, The World Bank.
- Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
- Arndt, Channing & Simler, Kenneth R., 2005.
"Estimating utility-consistent poverty lines,"
FCND discussion papers
189, International Food Policy Research Institute (IFPRI).
- M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters, in: Regional Climate Change and Variability, chapter 1 Edward Elgar.
- Blackorby, Charles & Donaldson, David, 1987. "Welfare ratios and distributionally sensitive cost-benefit analysis," Journal of Public Economics, Elsevier, vol. 34(3), pages 265-290, December.
- Howes, Stephen & Lanjouw, Jean Olson, 1998. "Does Sample Design Matter for Poverty Rate Comparisons?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 99-109, March.
- Angus Deaton & Salman Zaidi, 2002.
"Guidelines for Constructing Consumption Aggregates for Welfare Analysis,"
World Bank Publications,
The World Bank, number 14101.
- Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
- Angus Deaton & Salman Zaidi, 1999. "Guidelines for Constructing Consumption Aggregates For Welfare Analysis," Working Papers 217, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
- Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
- Benson, Todd & Machinjili, Charles & Kachikopa, Lawrence, 2004.
"Poverty in Malawi, 1998,"
FCND discussion papers
183, International Food Policy Research Institute (IFPRI).
- Ravallion, Martin, 1994. "Poverty rankings using noisy data on living standards," Economics Letters, Elsevier, vol. 45(4), pages 481-485, August.
- Greer, Joel & Thorbecke, Erik, 1986. "A methodology for measuring food poverty applied to Kenya," Journal of Development Economics, Elsevier, vol. 24(1), pages 59-74, November.
- Zheng, Buhong, 2001. "Statistical inference for poverty measures with relative poverty lines," Journal of Econometrics, Elsevier, vol. 101(2), pages 337-356, April.
- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
When requesting a correction, please mention this item's handle: RePEc:bla:revinw:v:53:y:2007:i:2:p:275-294. 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: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
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.