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Producing Time Series Data for Income Distribution: Sources, Methods and Techniques

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  • Timothy Smeeding
  • Andrea Brandolini
  • Anthony Atkinson

Abstract

This chapter addresses the important issue of the quality of time series data on income distribution. We hope to suggest both standards and practice patterns that will improve the production and use of time series data on inequality. Thus, we address three groups: primary data producers; secondary data producers (who assemble databanks from primary data sources), and users. We consider measurement error in both theory and practice. Along the way we include a number of practical suggestions for improving the comparability of time series data and trend analyses for income distribution.

Suggested Citation

  • Timothy Smeeding & Andrea Brandolini & Anthony Atkinson, 2001. "Producing Time Series Data for Income Distribution: Sources, Methods and Techniques," LIS Working papers 295, LIS Cross-National Data Center in Luxembourg.
    • Handle: RePEc:lis:liswps:295
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    1. Andrea Brandolini, 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Data Quality, and the Time Pattern of Income Inequality," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 58(2), pages 183-239, September.
    2. Andrzej Grodner & Timothy Smeeding, 2000. "Changing Income Inequality in OECD Countries: Updated Results from the Luxembourg Income Study (LIS)," LIS Working papers 252, LIS Cross-National Data Center in Luxembourg.
    3. Michael Förster, 2000. "Trends and Driving Factors in Income Distribution and Poverty in the OECD Area," OECD Labour Market and Social Policy Occasional Papers 42, OECD Publishing.
    4. Atkinson, A.B. & Brandolini, A., 2000. "Promise and Pitfalls in the Use of 'Secondary' Data -Sets: Income Inequality in OECD Countries," Papers 379, Banca Italia - Servizio di Studi.
    5. Burkhauser, Richard V. & Amy Crews Cutts & Mary C. Daly & Stephen P. Jenkins, 1999. "Testing the Significance of Income Distribution Changes over the 1980s Business Cycle: A Cross-National Comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 253-272, May-June.
    6. Gottschalk,Peter & Gustafsson,Bjorn A. & Palmer,Edward E. (ed.), 1997. "Changing Patterns in the Distribution of Economic Welfare," Cambridge Books, Cambridge University Press, number 9780521562621, June.
    7. Atkinson, A B, 1997. "Bringing Income Distribution in from the Cold," Economic Journal, Royal Economic Society, vol. 107(441), pages 297-321, March.
    8. A.B. Atkinson & F. Bourguignon (ed.), 2000. "Handbook of Income Distribution," Handbook of Income Distribution, Elsevier, edition 1, volume 1, number 1.
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    Cited by:

    1. Timothy M. Smeeding, 2002. "Globalization, Inequality, and the Rich Countries of the G-20: Evidence from the Luxembourg Income Study (LIS)," Center for Policy Research Working Papers 48, Center for Policy Research, Maxwell School, Syracuse University.
    2. Jens Suedekum, 2006. "Concentration and Specialization Trends in Germany since Re-unification," Regional Studies, Taylor & Francis Journals, vol. 40(8), pages 861-873.
    3. Gerardo Angeles-Castro, 2006. "The relationship between economic growth and inequality: evidence from the age of market liberalism," DEGIT Conference Papers c011_009, DEGIT, Dynamics, Economic Growth, and International Trade.
    4. Koen Caminada & Kees Goudswaard & Chen Wang & Jinxian Wang, 2019. "Income Inequality and Fiscal Redistribution in 31 Countries After the Crisis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(1), pages 119-148, March.
    5. Koen Caminada & Jinxian Wang & Kees Goudswaard & Chen Wang, 2019. "Relative Income Poverty Rates and Poverty Alleviation via Tax/benefit Systems in 49 LIS-Countries, 1967-2016," LIS Working papers 761, LIS Cross-National Data Center in Luxembourg.
    6. ANA CECILIA PARADA ROJAS & Humberto Ríos Bolívar & JORGE OMAR RAZO DE ANDA, 2019. "Mining Of Classification Trees To Analyze A Multidimensional Phenomenon," Proceedings of International Academic Conferences 9010809, International Institute of Social and Economic Sciences.
    7. ANA CECILIA PARADA ROJAS & Humberto Ríos Bolívar & Jorge Omar Razo De Anda, 2019. "Mining Of Classification Trees To Analyze A Multidimensional Phenomenon," Proceedings of International Academic Conferences 9110842, International Institute of Social and Economic Sciences.
    8. Koen Caminada & Jinxian Wang & Kees Goudswaard & Chen Wang, 2017. "Income inequality and fiscal redistribution in 47 LIS-countries, 1967-2014," LIS Working papers 724, LIS Cross-National Data Center in Luxembourg.
    9. Angeles-Castro, Gerardo, 2006. "The relationship between economic growth and inequality: evidence from the age of market liberalism," Proceedings of the German Development Economics Conference, Berlin 2006 2, Verein für Socialpolitik, Research Committee Development Economics.
    10. Gudrun Biffl, 2002. "Reorganisation of Employees' Legal Protection. Cause and Effect of Flexible Employment Relationships in the Labour Market," WIFO Working Papers 189, WIFO.
    11. Gerardo Angeles-Castro, 2006. "The Relationship Between Economic Growth and Inequality: Evidence from the Age of Market Liberalism," Studies in Economics 0601, School of Economics, University of Kent.

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