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Spatial Analysis of Poverty: The case of Peru

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  • Delgado Narro, Augusto Ricardo

Abstract

The concept of Multidimensional Poverty traditionally was used for comparative analysis across regions or countries. Nevertheless, in this paper, we use the concept of Multidimensional Poverty calculated for each Peruvian region and analyze the spatial patterns and spatial autocorrelation observed across the country, and, later, identify the spatial spillovers in poverty across the country. We find evidence of spatial autocorrelation across the regions which are statistically significant across models; in other words, it means poverty has spatial effects. Additionally, we find strong and significant evidence of spatial spillovers originated in the error terms rather than the endogenous variable, which has an unstable effect. Finally, the set of covariates we use in our regressions are statistically significant and stable across the models.

Suggested Citation

  • Delgado Narro, Augusto Ricardo, 2020. "Spatial Analysis of Poverty: The case of Peru," MPRA Paper 100615, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:100615
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    References listed on IDEAS

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    1. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    2. Crandall, Mindy S. & Weber, Bruce A., 2004. "Local Social And Economic Conditions, Spatial Concentrations Of Poverty, And Poverty Dynamics," Working Papers 18916, Oregon State University, Rural Poverty Research Center (RPRC).
    3. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    4. Esther Duflo, 2012. "Women Empowerment and Economic Development," Journal of Economic Literature, American Economic Association, vol. 50(4), pages 1051-1079, December.
    5. Bigman, David & Fofack, Hippolyte, 2000. "Geographical Targeting for Poverty Alleviation: An Introduction to the Special Issue," The World Bank Economic Review, World Bank, vol. 14(1), pages 129-145, January.
    6. Rupasingha, Anil & Goetz, Stephan J., 2007. "Social and political forces as determinants of poverty: A spatial analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(4), pages 650-671, August.
    7. Mindy S. Crandall & Bruce A. Weber, 2004. "Local Social and Economic Conditions, Spatial Concentrations of Poverty, and Poverty Dynamics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1276-1281.
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    More about this item

    Keywords

    Poverty; Spatial econometrics; Peru;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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