IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/179.html
   My bibliography  Save this paper

Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments

Author

Listed:
  • Dang, Hai-Anh
  • Jolliffe, Dean
  • Carletto, Calogero

Abstract

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where household consumption data are unavailable or missing. These contexts range from completely missing and partially missing consumption data in cross sectional household surveys, to missing panel household data. We focus on methods that aim to compare trends and dynamic patterns of poverty outcomes over time. We present the various existing methods under a common framework, with pedagogical discussion on the intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, we also offer a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques.

Suggested Citation

  • Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:179
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/173752/1/GLO-DP-0179.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brown, Caitlin & Ravallion, Martin & van de Walle, Dominique, 2018. "A poor means test? Econometric targeting in Africa," Journal of Development Economics, Elsevier, vol. 134(C), pages 109-124.
    2. Gustafsson, Björn & LI, Shi & Sato, Hiroshi, 2014. "Data for studying earnings, the distribution of household income and poverty in China," China Economic Review, Elsevier, vol. 30(C), pages 419-431.
    3. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
    4. Bierbaum, Mira & Gassmann, Franziska, 2012. "Chronic and transitory poverty in the Kyrgyz Republic: What can synthetic panels tell us?," MERIT Working Papers 064, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Tarozzi, Alessandro, 2007. "Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 314-336, July.
    6. Francisco H. G. Ferreira & Shaohua Chen & Andrew Dabalen & Yuri Dikhanov & Nada Hamadeh & Dean Jolliffe & Ambar Narayan & Espen Beer Prydz & Ana Revenga & Prem Sangraula & Umar Serajuddin & Nobuo Yosh, 2016. "A global count of the extreme poor in 2012: data issues, methodology and initial results," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(2), pages 141-172, June.
    7. Martin Rama & Tara Béteille & Yue Li & Pradeep K. Mitra & John Lincoln Newman, 2015. "Addressing Inequality in South Asia," World Bank Publications, The World Bank, number 20395.
    8. Nayoung Lee & Geert Ridder & John Strauss, 2017. "Estimation of Poverty Transition Matrices with Noisy Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 37-55, January.
    9. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
    10. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    11. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    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;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    13. Hai-Anh H. Dang & Minh Cong Nguyen, 2014. "POVIMP: Stata module to provide poverty estimates in the absence of actual consumption data," Statistical Software Components S457934, Boston College Department of Economics.
    14. Rojas, Mariano, 2008. "Experienced Poverty and Income Poverty in Mexico: A Subjective Well-Being Approach," World Development, Elsevier, vol. 36(6), pages 1078-1093, June.
    15. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    16. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2011. "Measuring inequality using censored data: a multiple‐imputation approach to estimation and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 63-81, January.
    17. Peter Gottschalk & Minh Huynh, 2010. "Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 302-315, May.
    18. Astrid Mathiassen, 2013. "Testing Prediction Performance of Poverty Models: Empirical Evidence from U ganda," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(1), pages 91-112, March.
    19. Serajuddin,Umar & Uematsu,Hiroki & Wieser,Christina & Yoshida,Nobuo & Dabalen,Andrew L., 2015. "Data deprivation : another deprivation to end," Policy Research Working Paper Series 7252, The World Bank.
    20. Kathleen Beegle & Luc Christiaensen & Andrew Dabalen & Isis Gaddis, 2016. "Poverty in a Rising Africa," World Bank Publications, The World Bank, number 22575.
    21. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101.
    22. Mohamed Douidich & Abdeljaouad Ezzrari & Roy Van der Weide & Paolo Verme, 2016. "Estimating Quarterly Poverty Rates Using Labor Force Surveys: A Primer," World Bank Economic Review, World Bank Group, vol. 30(3), pages 475-500.
    23. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    24. James Foster & Suman Seth & Michael Lokshin & Zurab Sajaia, 2013. "A Unified Approach to Measuring Poverty and Inequality--Theory and Practice : Streamlined Analysis with ADePT Software," World Bank Publications, The World Bank, number 13731.
    25. Paul Glewwe, 2012. "How Much of Observed Economic Mobility is Measurement Error? IV Methods to Reduce Measurement Error Bias, with an Application to Vietnam," World Bank Economic Review, World Bank Group, vol. 26(2), pages 236-264.
    26. Kenneth Harttgen & Stephan Klasen & Sebastian Vollmer, 2013. "An African Growth Miracle? Or: What do Asset Indices Tell Us About Trends in Economic Performance?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59, pages 37-61, October.
    27. Reema Nayar & Pablo Gottret & Pradeep Mitra & Gordon Betcherman & Yue Man Lee & Indhira Santos & Mahesh Dahal & Maheshwor Shrestha, 2012. "More and Better Jobs in South Asia," World Bank Publications, The World Bank, number 2391.
    28. Timothy N. Bond & Kevin Lang, 2014. "The Sad Truth About Happiness Scales," NBER Working Papers 19950, National Bureau of Economic Research, Inc.
    29. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications, The World Bank, number 25338.
    30. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, December.
    31. Alessandra Garbero, 2014. "Estimating poverty dynamics using synthetic panels for IFAD-supported projects: a case study from Vietnam," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(4), pages 490-510, December.
    32. Margaret Grosh & Carlo del Ninno & Emil Tesliuc & Azedine Ouerghi, 2008. "For Protection and Promotion : The Design and Implementation of Effective Safety Nets," World Bank Publications, The World Bank, number 6582.
    33. World Bank Group, 2015. "A Measured Approach to Ending Poverty and Boosting Shared Prosperity : Concepts, Data, and the Twin Goals," World Bank Publications, The World Bank, number 20384.
    34. Tomoki Fujii, 2010. "Micro-Level Estimation of Child Undernutrition Indicators in Cambodia," World Bank Economic Review, World Bank Group, vol. 24(3), pages 520-553, December.
    35. repec:bla:revinw:v:64:y:2018:i:s1:p:s114-s144 is not listed on IDEAS
    36. Kilic,Talip & Serajuddin,Umar & Uematsu,Hiroki & Yoshida,Nobuo, 2017. "Costing household surveys for monitoring progress toward ending extreme poverty and boosting shared prosperity," Policy Research Working Paper Series 7951, The World Bank.
    37. repec:bla:jorssa:v:180:y:2017:i:1:p:3-43 is not listed on IDEAS
    38. Cancho, Cesar & Davalos, Maria E. & Demarchi, Giorgia & Meyer, Moritz & Sanchez Paramo, Carolina, 2015. "Economic mobility in Europe and Central Asia : exploring patterns and uncovering puzzles," Policy Research Working Paper Series 7173, The World Bank.
    39. Adam Davey & Michael J. Shanahan & Joseph L. Schafer, 2001. "Correcting for Selective Nonresponse in the National Longitudinal Survey of Youth Using Multiple Imputation," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 500-519.
    40. Hai‐Anh H. Dang & Elena Ianchovichina, 2018. "Welfare Dynamics With Synthetic Panels: The Case of the Arab World In Transition," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(s1), pages 114-144, October.
    41. repec:uwp:jhriss:v:52:y:2017:i:3:p:800-825 is not listed on IDEAS
    42. Mark Montgomery & Michele Gragnolati & Kathleen Burke & Edmundo Paredes, 2000. "Measuring living standards with proxy variables," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 155-174, May.
    43. repec:eme:reinzz:s1049-258520170000025010 is not listed on IDEAS
    44. Guillermo Cruces & Peter Lanjouw & Leonardo Lucchetti & Elizaveta Perova & Renos Vakis & Mariana Viollaz, 2015. "Estimating poverty transitions using repeated cross-sections: a three-country validation exercise," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 161-179, June.
    45. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    46. Martin Nybom & Jan Stuhler, 2017. "Biases in Standard Measures of Intergenerational Income Dependence," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 800-825.
    47. 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.
    48. Shantayanan Devarajan, 2013. "Africa's Statistical Tragedy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59, pages 9-15, October.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    poverty; mobility; imputation; consumption; wealth index; synthetic panels; household survey;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:glodps:179. 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: (ZBW - Leibniz Information Centre for Economics). General contact details of provider: http://edirc.repec.org/data/glaboea.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.