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The Global Consumption and Income Project (GCIP): An Overview

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  • Rahul Lahoti

    ()

  • Arjun Jayadev

    ()

  • Sanjay G. Reddy

    ()

Abstract

We introduce two separate datasets (The Global Consumption Dataset (GCD) and The Global Income Dataset (GID)) making possible an unprecedented portrait of consumption and income of persons over time, within and across countries, around the world. The current benchmark version of the dataset presents estimates of monthly real consumption and income for every percentile of the population (a ‘consumption/income profile’) for more than 160 countries and more than half a century (1960-2015). We describe the construction of the datasets and demonstrate possible uses by presenting some sample results concerning the distribution of consumption, poverty and inequality in the world

Suggested Citation

  • Rahul Lahoti & Arjun Jayadev & Sanjay G. Reddy, 2016. "The Global Consumption and Income Project (GCIP): An Overview," LIS Working papers 655, LIS Cross-National Data Center in Luxembourg.
  • Handle: RePEc:lis:liswps:655
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    1. Villasenor, JoseA. & Arnold, Barry C., 1989. "Elliptical Lorenz curves," Journal of Econometrics, Elsevier, vol. 40(2), pages 327-338, February.
    2. Angus Deaton, 2005. "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 1-19, February.
    3. Nino-Zarazua, Miguel & Roope, Laurence & Tarp, Finn, 2014. "Global interpersonal inequality: Trends and measurement," WIDER Working Paper Series 004, World Institute for Development Economic Research (UNU-WIDER).
    4. Stephen Jenkins, 2015. "World income inequality databases: an assessment of WIID and SWIID," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(4), pages 629-671, December.
    5. Hajo Holzmann & Sebastian Vollmer & Julian Weisbrod, 2007. "Perspectives on the World Income Distribution - Beyond Twin Peaks Towards Welfare Conclusions," Ibero America Institute for Econ. Research (IAI) Discussion Papers 158, Ibero-America Institute for Economic Research.
    6. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
    7. Shaohua Chen & Martin Ravallion, 2004. "How Have the World's Poorest Fared since the Early 1980s?," World Bank Research Observer, World Bank Group, vol. 19(2), pages 141-169.
    8. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," World Bank Economic Review, World Bank Group, vol. 10(3), pages 565-591, September.
    9. A. B. Atkinson & A. Brandolini, 2009. "On data: a case study of the evolution of income inequality across time and across countries," Cambridge Journal of Economics, Oxford University Press, vol. 33(3), pages 381-404, May.
    10. Angus Deaton, 2005. "ERRATUM: Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 395-395, May.
    11. Quah, Danny, 1996. "Twin peaks : growth and convergence in models of distribution dynamics," LSE Research Online Documents on Economics 2278, London School of Economics and Political Science, LSE Library.
    12. Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Differences in Needs and Assessment of Income Distributions," Bulletin of Economic Research, Wiley Blackwell, vol. 44(2), pages 77-124, April.
    13. Arjun Jayadev & Rahul Lahoti & Sanjay G. Reddy, 2015. "Who got what, then and now? A Fifty Year Overview from the Global Consumption and Income Project," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 174, Courant Research Centre PEG.
    14. Arjun Jayadev & Rahul Lahoti & Sanjay Reddy, 2015. "The Middle Muddle: Conceptualizing and Measuring the Global Middle Class," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 193, Courant Research Centre PEG.
    15. Blaylock, James R., 1991. "The Impact Of Equivalence Scales On The Analysis Of Income And Food Spending Distributions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(1), pages 1-10, July.
    16. Frederick Solt, 2009. "Standardizing the World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 231-242, June.
    17. Sudhir Anand & Paul Segal, 2008. "What Do We Know about Global Income Inequality?," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 57-94, March.
    18. Camelia Minoiu & Sanjay G. Reddy, 2009. "The Estimation of Poverty and Inequality through Parametric Estimation of Lorenz Curves: An Evaluation," Journal of Income Distribution, Ad libros publications inc., vol. 18(2), pages 160-178, June.
    19. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," World Bank Economic Review, World Bank Group, vol. 10(3), pages 565-591, September.
    20. Aaberge, Rolf & Melby, Ingrid, 1998. "The Sensitivity of Income Inequality to Choice of Equivalence Scales," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(4), pages 565-569, December.
    21. Serajuddin,Umar & Uematsu,Hiroki & Wieser,Christina & Yoshida,Nobuo & Dabalen,Andrew L., 2015. "Data deprivation : another deprivation to end," Policy Research Working Paper Series 7252, The World Bank.
    22. Frederick Solt, 2009. "Standardizing the World Income Inequality Database," LIS Working papers 496, LIS Cross-National Data Center in Luxembourg.
    23. Milanovic, Branko, 2012. "Global income inequality by the numbers : in history and now --an overview--," Policy Research Working Paper Series 6259, The World Bank.
    24. Chotikapanich, Duangkamon, 1993. "A comparison of alternative functional forms for the Lorenz curve," Economics Letters, Elsevier, vol. 41(2), pages 129-138.
    25. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
    26. Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    27. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2009. "Parametric Estimations of the World Distribution of Income," NBER Working Papers 15433, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Meniago, Christelle & Asongu, Simplice A., 2018. "Revisiting the finance-inequality nexus in a panel of African countries," Research in International Business and Finance, Elsevier, vol. 46(C), pages 399-419.
    2. Bergh, Andreas & Bjørnskov, Christian, 2019. "Does Economic Freedom Boost Growth for Everyone?," Working Paper Series 1276, Research Institute of Industrial Economics.
    3. Boone, Catherine & Simson, Rebecca, 2019. "Regional inequalities in African political economy: theory, conceptualization and measurement, and political effects," LSE Research Online Documents on Economics 100861, London School of Economics and Political Science, LSE Library.
    4. Anthony Shorrocks & James Davies, 2018. "Comparing global inequality of income and wealth," WIDER Working Paper Series 160, World Institute for Development Economic Research (UNU-WIDER).
    5. Gregor Semieniuk & Isabella M. Weber, 2019. "Inequality in Energy Consumption: Statistical Equilibrium or a Question of Accounting Conventions?," Working Papers 228, Department of Economics, SOAS, University of London, UK.

    More about this item

    Keywords

    Consumption; Income; Growth; Global Income Distribution; Poverty; Inclusive Growth; Inequality;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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