IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Estimation of Poverty Transition Matrices with Noisy Data

  • John Strauss
  • Nayoung Lee
  • Geert Ridder

    ()

This paper investigates potential measurement error biases in estimated poverty transition matrices. Transition matrices based on survey expenditure data has been compared to transition matrices based on measurement-error-free simulated expenditure. The simulation model uses estimates that correct for measurement error in expenditure. This dynamic model needs error-free initial conditions that can not be derived from these estimates. [Working Paper No. 270]

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.esocialsciences.org/Download/repecDownload.aspx?fname=Document13082010340.1162073.pdf&fcategory=Articles&AId=2796&fref=repec
Download Restriction: no

Paper provided by eSocialSciences in its series Working Papers with number id:2796.

as
in new window

Length:
Date of creation: Aug 2010
Date of revision:
Handle: RePEc:ess:wpaper:id:2796
Note: Institutional Papers
Contact details of provider: Web page: http://www.esocialsciences.org

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. Francisca Antman & David J. McKenzie, 2007. "Earnings Mobility and Measurement Error: A Pseudo-Panel Approach," Economic Development and Cultural Change, University of Chicago Press, vol. 56, pages 125-161.
  2. Zimmerman, Frederick J. & Carter, Michael R., 2003. "Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints," Journal of Development Economics, Elsevier, vol. 71(2), pages 233-260, August.
  3. Peter T. Gottschalk & Enrico Spolaore, 2000. "On the Evaluation of Economic Mobility," JCPR Working Papers 185, Northwestern University/University of Chicago Joint Center for Poverty Research.
  4. Jean-Yves Duclos & Abdelkrim Araaryand & John Giles, 2006. "Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China," Working Papers 35, ECINEQ, Society for the Study of Economic Inequality.
  5. Espen Villanger, 2003. "The effects of disasters on income mobility: Bootstrap inference and measurement error simulations," CMI Working Papers WP 2003:6, CMI (Chr. Michelsen Institute), Bergen, Norway.
  6. Gary Fields & Paul Cichello & Samuel Freije & Marta Menendez & David Newhouse, 2003. "Household income dynamics: a four-country story," Journal of Development Studies, Taylor & Francis Journals, vol. 40(2), pages 30-54.
  7. repec:dau:papers:123456789/1562 is not listed on IDEAS
  8. Stefan Dercon & Pramila Krishnan, 2000. "Vulnerability, seasonality and poverty in Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 25-53.
  9. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
  10. Bob Baulch & John Hoddinott, 2000. "Economic mobility and poverty dynamics in developing countries," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 1-24.
  11. John Bound & Alan B. Krueger, 1989. "The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?," NBER Working Papers 2885, National Bureau of Economic Research, Inc.
  12. Martin Browning & Thomas F. Crossley & Gugliemo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," CAM Working Papers 2002-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  13. Ravallion, M. & Datt, G., 1991. "Growth and Redistribution Components of Changes in Poverty Measures," Papers 83, World Bank - Living Standards Measurement.
  14. Stephen Bond & Frank Windmeijer, 2002. "Projection estimators for autoregressive panel data models," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 457-479, 06.
  15. Kathleen McGarry, 1995. "Measurement Error and Poverty Rates of Widows," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 113-134.
  16. Francisca Antman & David McKenzie, 2007. "Poverty traps and nonlinear income dynamics with measurement error and individual heterogeneity," Journal of Development Studies, Taylor & Francis Journals, vol. 43(6), pages 1057-1083.
  17. Jalan, Jyotsna & Ravallion, Martin, 1998. "Transient Poverty in Postreform Rural China," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 338-357, June.
  18. Gaiha, Raghav & Deolalikar, Anil B, 1993. "Persistent, Expected and Innate Poverty: Estimates for Semi-arid Rural South India, 1975-1984," Cambridge Journal of Economics, Oxford University Press, vol. 17(4), pages 409-21, December.
  19. Datt, Gaurav & Ravallion, Martin, 1992. "Growth and redistribution components of changes in poverty measures : A decomposition with applications to Brazil and India in the 1980s," Journal of Development Economics, Elsevier, vol. 38(2), pages 275-295, April.
  20. 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.
  21. Lokshin Michael & Ravallion Martin, 2004. "Household Income Dynamics in Two Transition Economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-33, September.
  22. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
  23. Dercon, Stefan, 1998. "Wealth, risk and activity choice: cattle in Western Tanzania," Journal of Development Economics, Elsevier, vol. 55(1), pages 1-42, February.
  24. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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:ess:wpaper:id:2796. 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: (Padma Prakash)

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.