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Poverty mapping based on first order dominance with an example from Mozambique

Author

Listed:
  • Arndt, Channing

    (UNU-WIDER)

  • Hussain, M. Azhar

    (Department of Society and Globalisation)

  • Salvucci, Vincenzo

    (University of Copenhagen)

  • Tarp, Finn

    (UNU-WIDER)

  • Østerdal, Lars Peter

    () (Department of Business and Economics)

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.

Suggested Citation

  • Arndt, Channing & Hussain, M. Azhar & Salvucci, Vincenzo & Tarp, Finn & Østerdal, Lars Peter, 2015. "Poverty mapping based on first order dominance with an example from Mozambique," Discussion Papers of Business and Economics 15/2015, University of Southern Denmark, Department of Business and Economics.
  • Handle: RePEc:hhs:sdueko:2015_015
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    References listed on IDEAS

    as
    1. 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.
    2. 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 (CSAE), vol. 16(1), pages 70-101, January.
    3. 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.
    4. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    5. 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.
    6. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Oxford University Press, vol. 49(2), pages 183-201.
    7. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    8. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," World Bank Economic Review, World Bank Group, vol. 14(1), pages 147-165, January.
    9. 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.
    10. 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.
    11. repec:unu:wpaper:wp2012-36 is not listed on IDEAS
    12. Permanyer, Iñaki, 2013. "Using Census Data to Explore the Spatial Distribution of Human Development," World Development, Elsevier, vol. 46(C), pages 1-13.
    13. 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.
    14. 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.
    15. 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.
    16. François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 25-49, April.
    17. David Levhari & Jacob Paroush & Bezalel Peleg, 1975. "Efficiency Analysis for Multivariate Distributions," Review of Economic Studies, Oxford University Press, vol. 42(1), pages 87-91.
    18. M. Azhar 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.
    19. repec:dau:papers:123456789/4399 is not listed on IDEAS
    20. 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.
    21. 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.
    22. Yélé Maweki Batana & Jean-Yves Duclos, 2010. "Comparing Multidimensional Poverty with Qualitative Indicators of Well-Being," Cahiers de recherche 1004, CIRPEE.
    23. 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.
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    Citations

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    Cited by:

    1. 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).
    2. 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.
    3. 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).
    4. 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).
    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. 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).
    7. 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).

    More about this item

    Keywords

    First order dominance; poverty mapping; small area estimation; multidimensional poverty measurement; public expenditure evaluation; Mozambique;

    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

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