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Subnational Analyses Using the Luxembourg Income Study (LIS) Data Archive

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  • David Jesuit

Abstract

This brief chapter introduces researchers to the possibilities for subnational research using the harmonized data sets made available via the Luxembourg Income Study (LIS) (http://www.lisproject.org). We first offer a brief overview of the LIS and discuss specific challenges for subnational research using LIS microdata. Next, we review some of the contributions LIS data and researchers have made in the comparative study of subnational poverty and income inequality. Finally, we conclude with a brief presentation of the most recent poverty rates for German Länder and Italian Regions derived from the LIS. It is hoped that this introduction will provide scholars with a resource that will foster subnational examinations of economic well-being.

Suggested Citation

  • David Jesuit, 2008. "Subnational Analyses Using the Luxembourg Income Study (LIS) Data Archive," LIS Working papers 494, LIS Cross-National Data Center in Luxembourg.
    • Handle: RePEc:lis:liswps:494
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    File URL: http://www.lisdatacenter.org/wps/liswps/494.pdf
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    References listed on IDEAS

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    1. Timothy Patrick Moran, 2006. "Statistical Inference for Measures of Inequality With a Cross-National Bootstrap Application," Sociological Methods & Research, , vol. 34(3), pages 296-333, February.
    2. repec:bla:revinw:v:47:y:2001:i:3:p:301-20 is not listed on IDEAS
    3. Olli Kangas & Veli-Matti Ritakallio, 2004. "Relative to What? Cross-national Picture of European Poverty Measured by Regional, National and European Standards," LIS Working papers 384, LIS Cross-National Data Center in Luxembourg.
    4. Lars Osberg & Kuan Xu, 1999. "Poverty Intensity: How Well Do Canadian Provinces Compare?," Canadian Public Policy, University of Toronto Press, vol. 25(2), pages 179-195, June.
    5. Alain Janvry & Ravi Kanbur (ed.), 2006. "Poverty, Inequality and Development," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-29748-4, January.
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    Cited by:

    1. Zachary Parolin, 2017. "Applying Augmented Survey Data to Produce More Accurate, Precise, and Internationally Comparable Estimates of Poverty within the 50 United States," LIS Working papers 696, LIS Cross-National Data Center in Luxembourg.

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