IDEAS home Printed from https://ideas.repec.org/p/cep/stidar/35.html
   My bibliography  Save this paper

Statistical Inference for Lorenz Curves with Censored Data

Author

Listed:
  • Frank A Cowell
  • Maria-Pia Victoria-Feser

Abstract

Lorenz curves and associated tools for ranking income distributions are commonly estimated on the assumption that full, unbiased samples are available. However, it is common to find income and wealth distributions that are routinely censored or trimmed. We derive the sampling distribution for a key family of statistics in the case where data have been modified in this fashion.

Suggested Citation

  • Frank A Cowell & Maria-Pia Victoria-Feser, 1998. "Statistical Inference for Lorenz Curves with Censored Data," STICERD - Distributional Analysis Research Programme Papers 35, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  • Handle: RePEc:cep:stidar:35
    as

    Download full text from publisher

    File URL: https://sticerd.lse.ac.uk/dps/darp/darp35.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Moyes, Patrick, 1987. "A new concept of Lorenz domination," Economics Letters, Elsevier, vol. 23(2), pages 203-207.
    2. Russell Davidson & Jean-Yves Duclos, 1997. "Statistical Inference for the Measurement of the Incidence of Taxes and Transfers," Econometrica, Econometric Society, vol. 65(6), pages 1453-1466, November.
    3. Fichtenbaum, Rudy & Shahidi, Hushang, 1988. "Truncation Bias and the Measurement of Income Inequality," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 335-337, July.
    4. C. M. Beach & S. F. Kaliski, 1986. "Lorenz Curve Inference with Sample Weights: An Application to the Distribution of Unemployment Experience," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(1), pages 38-45, March.
    5. Beach, Charles M & Richmond, James, 1985. "Joint Confidence Intervals for Income Shares and Lorenz Curves," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(2), pages 439-450, June.
    6. Beach, Charles M. & Chow, K. Victor & Formby, John P. & Slotsve, George A., 1994. "Statistical inference for decile means," Economics Letters, Elsevier, vol. 45(2), pages 161-167, June.
    7. Frank A Cowell & Maria-Pia Victoria-Feser, 1996. "Welfare Judgements in the Presence Contaminated Data," STICERD - Distributional Analysis Research Programme Papers 13, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Donald W.K. Andrews, 1997. "A Simple Counterexample to the Bootstrap," Cowles Foundation Discussion Papers 1157, Cowles Foundation for Research in Economics, Yale University.
    9. repec:bla:econom:v:58:y:1991:i:232:p:461-77 is not listed on IDEAS
    10. Charles M. Beach & Russell Davidson, 1983. "Distribution-Free Statistical Inference with Lorenz Curves and Income Shares," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 723-735.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chiara Gigliarano & Pietro Muliere, 2013. "Estimating the Lorenz curve and Gini index with right censored data: a Polya tree approach," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 105-122, September.
    2. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    2. Klavus, Jan, 2001. "Statistical inference of progressivity dominance: an application to health care financing distributions," Journal of Health Economics, Elsevier, vol. 20(3), pages 363-377, May.
    3. Chiou, Jong-Rong, 1996. "A dominance evaluation of Taiwan's official income distribution statistics, 1976-1992," China Economic Review, Elsevier, vol. 7(1), pages 57-75.
    4. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    5. Gordon Anderson, 2003. "Poverty in America 1970-1990: who did gain ground? An application of stochastic dominance criteria employing simultaneous inequality tests in a partial panel," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 621-640.
    6. Nicolas Gravel & Patrick Moyes, 2006. "Ethically Robust Comparisons of Distributions of Two Individual Attributes," IDEP Working Papers 0605, Institut d'economie publique (IDEP), Marseille, France, revised Aug 2006.
    7. Jean-Yves Duclos & Joan Esteban & Debraj Ray, 2004. "Polarization: Concepts, Measurement, Estimation," Econometrica, Econometric Society, vol. 72(6), pages 1737-1772, November.
    8. Juan Ramón García, "undated". "La desigualdad salarial en España. Efectos de un diseño muestral complejo," Working Papers 2003-26, FEDEA.
    9. Schluter, Christian & Trede, Mark, 2002. "Tails of Lorenz curves," Journal of Econometrics, Elsevier, vol. 109(1), pages 151-166, July.
    10. Bishop, John A & Chakraborti, S & Thistle, Paul D, 1994. "Relative Inequality, Absolute Inequality, and Welfare: Large Sample Tests for Partial Orders," Bulletin of Economic Research, Wiley Blackwell, vol. 46(1), pages 41-59, January.
    11. 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.
    12. Flachaire, Emmanuel & Nunez, Olivier, 2007. "Estimation of the income distribution and detection of subpopulations: An explanatory model," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3368-3380, April.
    13. Allanson, Paul & Hubbard, Lionel, 1999. "On the Comparative Evaluation of Agricultural Income Distributions in the European Union," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 26(1), pages 1-17, March.
    14. Frank A Cowell & Maria-Pia Victoria-Feser, 2001. "Robust Lorenz Curves: A Semiparametric Approach," STICERD - Distributional Analysis Research Programme Papers 50, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    15. John Bishop & K. Chow & John Formby & Chih-Chin Ho, 1997. "Did Tax Reform Reduce Actual US Progressivity? Evidence from the Taxpayer Compliance Measurement Program," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 4(2), pages 177-197, May.
    16. Magdalou, Brice & Moyes, Patrick, 2012. "The absence of deprivation as a measure of social well-being: An empirical investigation," Economics Letters, Elsevier, vol. 116(1), pages 75-79.
    17. Juan Ramón García López, "undated". "El diseño complejo de la encuesta de estructura salarial 1995: Implicaciones sobre la estimación de medidas de desigualdad," Working Papers 2003-24, FEDEA.
    18. André DECOSTER & Guy VAN CAMP, 2000. "Redistributive Effects of the Shift from Personal Income Taxes to Indirect Taxes: Belgium 1988-1993," Working Papers of Department of Economics, Leuven ces0007, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    19. Roosen J. & Hennessy D.A., 2004. "Testing for the Monotone Likelihood Ratio Assumption," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 358-366, July.
    20. Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.

    More about this item

    Keywords

    Lorenz curve; sampling errors;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cep:stidar:35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://sticerd.lse.ac.uk/_new/publications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.