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Region-Specific versus Country-specific Poverty Lines in Analysis of Poverty

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Abstract

The standard practice in most OECD countries is to measure and evaluate poverty on the basis of a poverty line defined as a specific proportion of the median equivalent income within a country. However, this approach disregards regional differences in prices and needs within a country and may, therefore, provide an incomplete and even an incorrect picture of the extent as well as the geographical and demographical composition of the poor. To account for differences in prices and needs, this paper introduces an alternative method of measuring poverty based on a set of region-specific poverty lines. Applying Norwegian household register data for 2001 we find that the overall extent of poverty is only slightly affected by the change in definition of poverty line. However, the geographical as well as the demographical composition of poverty are shown to depend heavily on whether the method of measuring poverty relies on region-specific or country-specific thresholds. As expected, the results demonstrate that the analysis of poverty based on country-specific thresholds produces downward biased poverty rates in urban areas and upward biased poverty rates in rural areas. Moreover, when region-specific poverty thresholds form the basis of the poverty analysis, we find that the poverty rates among young singles and non-western immigrants are significantly higher than what is suggested by previous empirical evidence based on a joint country-specific poverty line.

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  • Magne Mogstad & Audun Langørgen & Rolf Aaberge, 2005. "Region-Specific versus Country-specific Poverty Lines in Analysis of Poverty," Discussion Papers 408, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:408
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    2. Magne Mogstad & Audun Langørgen & Rolf Aaberge, 2007. "Region-specific versus country-specific poverty lines in analysis of poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 115-122, April.
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    Cited by:

    1. Uche Ozughalu, 2016. "Relationship Between Household Food Poverty and Vulnerability to Food Poverty: Evidence from Nigeria," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 567-587, January.
    2. Magne Mogstad & Audun Langørgen & Rolf Aaberge, 2007. "Region-specific versus country-specific poverty lines in analysis of poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 115-122, April.
    3. Dimri, Aditi & Maniquet, Francois, 2017. "Poverty measurement (in India): Defining group-specific poverty lines or taking preferences into account?," Economic Research Papers 269089, University of Warwick - Department of Economics.
    4. Aaberge, Rolf & Langørgen, Audun & Mogstad, Magne & Østensen, Marit, 2008. "The Impact of Local Public Services and Geographical Cost of Living Differences on Poverty Estimates," IZA Discussion Papers 3686, Institute of Labor Economics (IZA).
    5. Uche M. Ozughalu & Fidelis O. Ogwumike, 2013. "Vulnerability to Food Poverty in Nigeria," African Development Review, African Development Bank, vol. 25(3), pages 243-255, September.
    6. Gaia Bertarelli & Luigi Biggeri & Caterina Giusti & Stefano Marchetti & Monica Pratesi, 2020. "Intra-Country comparisons of Poverty Rate," Discussion Papers 2020/260, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    7. Cristina Bernini & Silvia Emili & Maria Rosaria Ferrante, 2023. "Poverty‐happiness nexus: Does the use of regional poverty lines matter?," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 253-272, April.
    8. Magne Mogstad, 2007. "Measuring Income Inequality under Restricted Interpersonal Comparability," Discussion Papers 498, Statistics Norway, Research Department.
    9. Andrea Brandolini, 2006. "Measurement of Income Distribution in Supranational Entities: The Case of the European Union," LIS Working papers 452, LIS Cross-National Data Center in Luxembourg.
    10. Enrico Fabrizi & Chiara Mussida, 2020. "Assessing poverty persistence in households with children," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 551-569, December.
    11. Aditi Dimri & François Maniquet, 2020. "Income poverty measurement in India: defining group-specific poverty lines or taking preferences into account?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(2), pages 137-156, June.
    12. Enrico Fabrizi & Chiara Mussida, 2018. "Assessing poverty persistence in households with dependent children: the role of poverty measurement," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1839, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    13. Martina Celidoni, 2015. "Decomposing Vulnerability to Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(1), pages 59-74, March.
    14. Muhammad Idrees, 2017. "Poverty in Pakistan: A Region-Specific Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(2), pages 139-163, July-Dec.

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    More about this item

    Keywords

    Measurement of poverty; poverty line; geographical and demographical poverty profile;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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