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Spatial Inequalities Explained: Evidence from Burkina Faso

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  • Johannes Gräb
  • Michael Grimm

Abstract

Empirical evidence suggests that regional disparities in incomes are often very high, that these disparities do not necessarily disappear as economies grow and that these disparities are itself an important driver of growth. We use a novel approach based on multilevel modeling to decompose the sources of spatial disparities in incomes among households in Burkina Faso. We show that spatial disparities are not only driven by the spatial concentration of households with particular endowments but to a large extent also by disparities in community endowments. Climatic differences across regions due also matter, but to a much smaller extent.

Suggested Citation

  • Johannes Gräb & Michael Grimm, 2008. "Spatial Inequalities Explained: Evidence from Burkina Faso," Discussion Papers of DIW Berlin 843, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp843
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.92166.de/dp843.pdf
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    Cited by:

    1. Gönsch, Iris, 2010. "Determinants of primary school enrollment in Haiti and the Dominican Republic," Discussion Papers 54, Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).
    2. Monica Beuran & Marie Gachassin & Gaël Raballand, 2015. "Are There Myths on Road Impact and Transport in Sub-Saharan Africa?," Development Policy Review, Overseas Development Institute, vol. 33(5), pages 673-700, September.
    3. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2020. "Targeting Administrative Regions for Multidimensional Poverty Alleviation: A Study on Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 143-189, July.
    4. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.

    More about this item

    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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