IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp763.html
   My bibliography  Save this paper

Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data

Author

Listed:
  • Biewen, Martin

    (University of Tuebingen)

  • Jenkins, Stephen P.

    (London School of Economics)

Abstract

Applying a method suggested by Woodruff (1971), we derive the sampling variances of Generalized Entropy and Atkinson inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the calculations for the i.i.d. case when compared to previous derivations in the literature. Both cases are illustrated with examples from the German Socio-Economic Panel Study and the British Household Panel Survey.

Suggested Citation

  • Biewen, Martin & Jenkins, Stephen P., 2003. "Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data," IZA Discussion Papers 763, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp763
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp763.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. P. Jenkins, Stephen & A. Cowell, Frank, 2000. "Estimating welfare indices: household weights and sample design," ISER Working Paper Series 2000-23, Institute for Social and Economic Research.
    2. Thistle, Paul D, 1990. "Large Sample Properties of Two Inequality Indices," Econometrica, Econometric Society, vol. 58(3), pages 725-728, May.
    3. Christian Schluter & Mark Trede, 2002. "Statistical Inference for Inequality and Poverty Measurement with Dependent Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 493-508, May.
    4. Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
    5. Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
    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. 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.
    2. Fiorio, Carlo V., 2006. "Understanding inequality trends: microsimulation decomposition for Italy," LSE Research Online Documents on Economics 6544, London School of Economics and Political Science, LSE Library.
    3. Amavilah, Voxi Heinrich, 2016. "The 'Common Goood' in Pope Francis's Social Welfare Hypothesis," MPRA Paper 71760, University Library of Munich, Germany.
    4. Eduardo Michel Camacho & Willy W. Cortez, 2012. "Distribución del ingreso y bienestar social en México 1984-2008," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 27(2), pages 347-378.
    5. Leighton, Margaret & Speer, Jamin D., 2020. "Labor market returns to college major specificity," European Economic Review, Elsevier, vol. 128(C).
    6. Djavad Salehi-Isfahani, 2009. "Poverty, inequality, and populist politics in Iran," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(1), pages 5-28, March.
    7. Juan Ramón García, "undated". "La desigualdad salarial en España. Efectos de un diseño muestral complejo," Working Papers 2003-26, FEDEA.
    8. Chiara Mussida & Maria Laura Parisi, 2016. "The effect of economic crisis on regional income inequality in Italy," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1614, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    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. P. Jenkins, Stephen & Biewen, Martin, 2003. "Estimation of Generalized Entropy and Atkinson inequality indices from survey data," ISER Working Paper Series 2003-11, Institute for Social and Economic Research.
    2. Stephen Jenkins, 2005. "Estimation of inequality indices from survey data, allowing for design effects," United Kingdom Stata Users' Group Meetings 2005 07, Stata Users Group.
    3. Juan Ramón García, "undated". "La desigualdad salarial en España. Efectos de un diseño muestral complejo," Working Papers 2003-26, FEDEA.
    4. Judith Clarke & Nilanjana Roy, 2012. "On statistical inference for inequality measures calculated from complex survey data," Empirical Economics, Springer, vol. 43(2), pages 499-524, October.
    5. 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.
    6. Raquel Andres & Samuel Calonge, 2005. "Inference on Income Inequality and Tax Progressivity Indices: U-Statistics and Bootstrap Methods," Working Papers 09, ECINEQ, Society for the Study of Economic Inequality.
    7. Karoly, Lynn & Schröder, Carsten, 2015. "Fast methods for jackknifing inequality indices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 125-138.
    8. William Horrace & Joseph Marchand & Timothy Smeeding, 2008. "Ranking inequality: Applications of multivariate subset selection," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(1), pages 5-32, March.
    9. Frank Cowell & Emmanuel Flachaire, 2021. "Inequality Measurement: Methods and Data," Post-Print hal-03589066, HAL.
    10. Van de gaer, Dirk & Funnell, Nicola & McCarthy, Tom, 1999. "Statistical inference for two measures of inequality when incomes are correlated," Economics Letters, Elsevier, vol. 64(3), pages 295-300, September.
    11. Frank Bickenbach & Eckhardt Bode, 2008. "Disproportionality Measures of Concentration, Specialization, and Localization," International Regional Science Review, , vol. 31(4), pages 359-388, October.
    12. Stéphane Mussard & Pi Alperin María Noel, 2006. "Measuring Significance of Inequalities with Heterogeneous Groups and Income Sources," Cahiers de recherche 06-13, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    13. Jordi Arcarons & Samuel Calonge, 2015. "Inference tests for tax progressivity and income redistribution: the Suits approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 207-223, June.
    14. Ogwang Tomson, 2014. "A Convenient Method of Decomposing the Gini Index by Population Subgroups," Journal of Official Statistics, Sciendo, vol. 30(1), pages 91-105, March.
    15. Heshmati, Almas, 2004. "Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality," IZA Discussion Papers 1263, Institute of Labor Economics (IZA).
    16. Philippe Kerm, 2002. "Inference on inequality measures: A Monte Carlo experiment," Journal of Economics, Springer, vol. 9(1), pages 283-306, December.
    17. Van de gaer Dirk & Nicola Funnell & Tom McCarthy, 1998. "Statistical Inference for 2 Measures of Inequality when Incomes are Correlated," Economics Department Working Paper Series n821098, Department of Economics, National University of Ireland - Maynooth.
    18. Schluter, Christian & van Garderen, Kees Jan, 2009. "Edgeworth expansions and normalizing transforms for inequality measures," Journal of Econometrics, Elsevier, vol. 150(1), pages 16-29, May.
    19. Silvia De Nicol`o & Maria Rosaria Ferrante & Silvia Pacei, 2021. "Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples," Papers 2107.08950, arXiv.org, revised May 2023.
    20. Zheng, Buhong & J. Cushing, Brian, 2001. "Statistical inference for testing inequality indices with dependent samples," Journal of Econometrics, Elsevier, vol. 101(2), pages 315-335, April.

    More about this item

    Keywords

    complex surveys; statistical inference; inequality;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

    NEP fields

    This paper has been announced in the following NEP Reports:

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. 앳킨슨 지수 in Wikipedia Korean
    2. Atkinson index in Wikipedia English

    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:iza:izadps:dp763. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    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.