IDEAS home Printed from https://ideas.repec.org/a/wly/jintdv/v28y2016i1p3-21.html
   My bibliography  Save this article

Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique

Author

Listed:
  • Channing Arndt
  • Azhar M. Hussain
  • Vincenzo Salvucci
  • Finn Tarp
  • Lars Peter Østerdal

Abstract

We explore a novel first‐order dominance (FOD) approach to poverty mapping and compare its properties to small‐area estimation. The FOD approach uses census data directly, is straightforward to implement, is multidimensional allowing for a broad conception of welfare and accounts rigorously for welfare distributions in both levels and trends. An application to Mozambique highlights the value of the approach, including its advantages in the monitoring and evaluation of public expenditures. We conclude that the FOD approach to poverty mapping constitutes a useful addition to the toolkit of policy analysts. © 2015 UNU‐WIDER. Journal of International Development published by John Wiley & Sons, Ltd.

Suggested Citation

  • Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
  • Handle: RePEc:wly:jintdv:v:28:y:2016:i:1:p:3-21
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jid.3200
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael Grimm & Isabel Günther, 2007. "Growth and Poverty in Burkina Faso: A Reassessment of the Paradox," Journal of African Economies, Centre for the Study of African Economies, vol. 16(1), pages 70-101, January.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Alfani, Federica & Azzarri, Carlo & d'Errico, Marco & Molini, Vasco, 2012. "Poverty in Mozambique : new evidence from recent household surveys," Policy Research Working Paper Series 6217, The World Bank.
    4. Elbers, Chris & Lanjouw, Peter & Leite, Phillippe George, 2008. "Brazil within Brazil : testing the poverty map methodology in Minas Gerais," Policy Research Working Paper Series 4513, The World Bank.
    5. M. Hussain, 2016. "EU Country Rankings’ Sensitivity to the Choice of Welfare Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 1-17, January.
    6. Merlin, Vincent R. & Saari, Donald G., 1997. "Copeland Method II: Manipulation, Monotonicity, and Paradoxes," Journal of Economic Theory, Elsevier, vol. 72(1), pages 148-172, January.
    7. Grant, Simon & Kajii, Atsushi & Polak, Ben, 1992. "Many good choice Axioms: When can many-good lotteries be treated as money lotteries?," Journal of Economic Theory, Elsevier, vol. 56(2), pages 313-337, April.
    8. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    9. Yélé Maweki Batana & Jean-Yves Duclos, 2010. "Comparing Multidimensional Poverty with Qualitative Indicators of Well-Being," Cahiers de recherche 1004, CIRPEE.
    10. Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
    11. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    12. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(2), pages 183-201.
    13. David Levhari & Jacob Paroush & Bezalel Peleg, 1975. "Efficiency Analysis for Multivariate Distributions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(1), pages 87-91.
    14. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    15. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    16. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
    17. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    18. Channing Arndt & M. Azhar Hussain & E. Samuel Jones & Virgulino Nhate & Finn Tarp & James Thurlow, 2013. "Explaining the Evolution of Poverty: The Case of Mozambique," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 206-206.
    19. Vincent R. Merlin & Donald G. Saari, "undated". "The Copeland Method I; Relationships and the Dictionary," Discussion Papers 1111, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    20. Østerdal, Lars Peter, 2010. "The mass transfer approach to multivariate discrete first order stochastic dominance: Direct proof and implications," Journal of Mathematical Economics, Elsevier, vol. 46(6), pages 1222-1228, November.
    21. repec:dau:papers:123456789/4399 is not listed on IDEAS
    22. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," The World Bank Economic Review, World Bank, vol. 14(1), pages 147-165, January.
    23. repec:unu:wpaper:wp2012-36 is not listed on IDEAS
    24. Permanyer, Iñaki, 2013. "Using Census Data to Explore the Spatial Distribution of Human Development," World Development, Elsevier, vol. 46(C), pages 1-13.
    25. Atkinson, Anthony B. & Lugo, Maria Ana, 2010. "Growth, poverty and distribution in Tanzania," LSE Research Online Documents on Economics 36376, London School of Economics and Political Science, LSE Library.
    26. Donald G. Saari & Vincent R. Merlin, 1996. "The Copeland method (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(1), pages 51-76.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Channing Arndt & Sam Jones & Kristi Mahrt & Vincenzo Salvucci & Finn Tarp, 2016. "A review of consumption poverty estimation for Mozambique," WIDER Working Paper Series wp-2016-35, World Institute for Development Economic Research (UNU-WIDER).
    2. Channing Arndt & Vincent Leyaro & Kristi Mahrt & Finn Tarp, 2016. "Multidimensional assessment of child welfare for Tanzania," WIDER Working Paper Series 075, World Institute for Development Economic Research (UNU-WIDER).
    3. M. Azhar Hussain & Nikolaj Siersbæk & Lars Peter Østerdal, 2020. "Multidimensional welfare comparisons of EU member states before, during, and after the financial crisis: a dominance approach," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 645-686, December.
    4. Valérie Bérenger, 2017. "The counting approach to multidimensional poverty: The case of four African countries," WIDER Working Paper Series wp-2017-210, World Institute for Development Economic Research (UNU-WIDER).
    5. Steven Glover & Vincenzo Salvucci & Sam Jones, 2016. "Where is commercial farming expanding in Mozambique? Evidence from agricultural surveys," WIDER Working Paper Series 159, World Institute for Development Economic Research (UNU-WIDER).
    6. Valérie Bérenger, 2017. "The counting approach to multidimensional poverty: The case of four African countries," WIDER Working Paper Series 210, World Institute for Development Economic Research (UNU-WIDER).
    7. Arndt, Channing & Mahrt, Kristi & Hussain, M. Azhar & Tarp, Finn, 2018. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," World Development, Elsevier, vol. 108(C), pages 181-196.
    8. José Cardoso & João Morgado & Vincenzo Salvucci, 2016. "Mapping deprivation in Mozambique: An analysis of census data (1997-2007)," WIDER Working Paper Series wp-2016-166, World Institute for Development Economic Research (UNU-WIDER).
    9. Eva-Maria Egger & Vincenzo Salvucci & Finn Tarp, 2023. "Evolution of Multidimensional Poverty in Crisis-Ridden Mozambique," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 485-519, April.
    10. Channing Arndt & Vincent Leyaro & Kristi Mahrt & Finn Tarp, 2016. "Multidimensional assessment of child welfare for Tanzania," WIDER Working Paper Series wp-2016-75, World Institute for Development Economic Research (UNU-WIDER).
    11. Arndt, Channing & Mahrt, Kristi & Hussain, M. Azhar & Tarp, Finn, 2018. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," World Development, Elsevier, vol. 108(C), pages 181-196.
    12. Steven Glover & Vincenzo Salvucci & Sam Jones, 2016. "Where is commercial farming expanding in Mozambique?: Evidence from agricultural surveys," WIDER Working Paper Series wp-2016-159, World Institute for Development Economic Research (UNU-WIDER).
    13. Argyris, Nikolaos & Østerdal, Lars Peter & Hussain, M. Azhar, 2023. "Value-driven Multidimensional Welfare Analysis: A Dominance Approach with Application to Comparisons of European Populations," Working Papers 12-2023, Copenhagen Business School, Department of Economics.
    14. Channing Arndt & Sam Jones & Kristi Mahrt & Vincenzo Salvucci & Finn Tarp, 2016. "A review of consumption poverty estimation for Mozambique," WIDER Working Paper Series 035, World Institute for Development Economic Research (UNU-WIDER).
    15. José Cardoso & João Morgado & Vincenzo Salvucci, 2016. "Mapping deprivation in Mozambique: An analysis of census data (1997–2007)," WIDER Working Paper Series 166, World Institute for Development Economic Research (UNU-WIDER).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
    2. Channing Arndt & Azhar Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2013. "Advancing Small Area Estimation," WIDER Working Paper Series wp-2013-053, World Institute for Development Economic Research (UNU-WIDER).
    3. Arndt, Channing & Salvucci, Vincenzo & Tarp, Finn & Østerdal, Lars Peter & Hussain, M. Azhar, 2013. "Advancing Small Area Estimation," WIDER Working Paper Series 053, World Institute for Development Economic Research (UNU-WIDER).
    4. M. Azhar Hussain & Nikolaj Siersbæk & Lars Peter Østerdal, 2020. "Multidimensional welfare comparisons of EU member states before, during, and after the financial crisis: a dominance approach," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 645-686, December.
    5. Arndt, Channing & Mahrt, Kristi & Hussain, M. Azhar & Tarp, Finn, 2018. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," World Development, Elsevier, vol. 108(C), pages 181-196.
    6. M. Azhar Hussain & Mette Møller Jørgensen & Lars Peter Østerdal, 2016. "Refining Population Health Comparisons: A Multidimensional First Order Dominance Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 739-759, November.
    7. Malokele Nanivazo, 2015. "First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 235-255, May.
    8. Olu Ajakaiye & Afeikhena T. Jerome & Olanrewaju Olaniyan & Kristi Mahrt & Olufunke A. Alaba, 2014. "Multidimensional Poverty in Nigeria: First Order Dominance Approach," WIDER Working Paper Series wp-2014-143, World Institute for Development Economic Research (UNU-WIDER).
    9. Ajakaiye, Olu & Jerome, Afeikhena T. & Olaniyan, Olanrewaju & Mahrt, Kristi & Alaba, Olufunke A., 2014. "Multidimensional poverty in Nigeria: First order dominance approach," WIDER Working Paper Series 143, World Institute for Development Economic Research (UNU-WIDER).
    10. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    11. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    12. Christoffer Sonne-Schmidt & Finn Tarp & Lars Peter Østerdal, 2013. "Ordinal Multidimensional Inequality," WIDER Working Paper Series wp-2013-097, World Institute for Development Economic Research (UNU-WIDER).
    13. Sonne-Schmidt, Christoffer & Tarp, Finn & Østerdal, Lars Peter, 2013. "Ordinal Multidimensional Inequality," WIDER Working Paper Series 097, World Institute for Development Economic Research (UNU-WIDER).
    14. Christoffer Sonne-Schmidt & Finn Tarp & Lars Peter Østerdal, 2016. "Ordinal Bivariate Inequality: Concepts and Application to Child Deprivation in Mozambique," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 559-573, September.
    15. Arndt, Channing & Mahrt, Kristi & Hussain, M. Azhar & Tarp, Finn, 2018. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," World Development, Elsevier, vol. 108(C), pages 181-196.
    16. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
    17. repec:unu:wpaper:wp2012-36 is not listed on IDEAS
    18. Malokele Nanivazo, 2014. "First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo," WIDER Working Paper Series wp-2014-025, World Institute for Development Economic Research (UNU-WIDER).
    19. Channing Arndt & Nikolaj Siersbæk, & Lars Peter Østerdal, 2015. "Multidimensional first-order dominance comparisons of population wellbeing," WIDER Working Paper Series 122, World Institute for Development Economic Research (UNU-WIDER).
    20. Marling, Tina Gottschalk & Range, Troels Martin & Sudhölter, Peter & Østerdal, Lars Peter, 2018. "Decomposing bivariate dominance for social welfare comparisons," Mathematical Social Sciences, Elsevier, vol. 95(C), pages 1-8.
    21. M. Hussain, 2016. "EU Country Rankings’ Sensitivity to the Choice of Welfare Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 1-17, January.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    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:wly:jintdv:v:28:y:2016:i:1:p:3-21. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/journal/5102/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.