IDEAS home Printed from https://ideas.repec.org/p/hdl/wpaper/1602.html

Notes on updating the EU-SILC UDB sample design variables 2012-2014

Author

Listed:
  • Lorena Zardo Trindade
  • Tim Goedemé

Abstract

Indicators based on EU-SILC should be accompanied by appropriate standard errors, and in order to do so, it is necessary to consider the sample design. Because important sample design variables are missing in the EU-SILC User Database (UDB), the aim of this note is to explain the update of EU-SILC UDB sample design variables for 2012 (version 4), 2013 (version 3) and 2014 (version 1), based on the methodology developed by Goedemé (2010b, 2013a). Although several of the challenges for reconstructing the EU-SILC sample design variables are identical for all releases of the data, the update required minor adjustments in the computation of the new sample design variables psu1 and strata1. The effect of the use of the new sample design variables on standard errors is observed for ‘At risk of povertyÂ’ and ‘Material deprivationÂ’, for which SE values are found to be larger when the sample design variables are considered.

Suggested Citation

  • Lorena Zardo Trindade & Tim Goedemé, 2016. "Notes on updating the EU-SILC UDB sample design variables 2012-2014," Working Papers 1602, Herman Deleeck Centre for Social Policy, University of Antwerp.
    • Handle: RePEc:hdl:wpaper:1602
    as

    Download full text from publisher

    File URL: https://medialibrary.uantwerpen.be/oldcontent/container2453/files/CSB%20WP%202016/CSB_WP_16_02.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen Howes & Jean Olson Lanjouw, 1998. "Does Sample Design Matter For Poverty Rate Comparisons?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 99-109, March.
    2. Dean Jolliffe & Gaurav Datt & Manohar Sharma, 2004. "Robust Poverty and Inequality Measurement in Egypt: Correcting for Spatial‐price Variation and Sample Design Effects," Review of Development Economics, Wiley Blackwell, vol. 8(4), pages 557-572, November.
    3. Joan R. Rodgers & John L. Rodgers, 1993. "Chronic Poverty in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 28(1), pages 25-54.
    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. Cerniauskas Nerijus & Jousten Alain, 2021. "Statutory, effective, and optimal net tax schedules in Lithuania," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-33, May.
    2. Iryna Kyzyma, 2020. "How Poor Are the Poor? Looking beyond the Binary Measure of Income Poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 525-549, December.
    3. Bernhard Hammer & Sonja Spitzer & Alexia Prskawetz, 2022. "Age-Specific Income Trends in Europe: The Role of Employment, Wages, and Social Transfers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 525-547, July.
    4. Nerijus Cerniauskas & Andrius Ciginas, 2019. "Measurement and decomposition of Lithuania’s income inequality," Bank of Lithuania Discussion Paper Series 14, Bank of Lithuania.

    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. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
    2. Jolliffe,Dean Mitchell & Serajuddin,Umar & Jolliffe,Dean Mitchell & Serajuddin,Umar, 2015. "Estimating poverty with panel data, comparably : an example from Jordan," Policy Research Working Paper Series 7373, The World Bank.
    3. Christophe Muller, 2008. "The Measurement Of Poverty With Geographical And Intertemporal Price Dispersion: Evidence From Rwanda," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(1), pages 27-49, March.
    4. repec:dau:papers:123456789/4381 is not listed on IDEAS
    5. Jolliffe, Dean, 2006. "The Cost of Living and the Geographic Distribution of Poverty," Economic Research Report 7254, United States Department of Agriculture, Economic Research Service.
    6. Tiehen, Laura & Jolliffe, Dean & Gundersen, Craig, "undated". "Alleviating Poverty in the United States: The Critical Role of SNAP Benefits," Economic Research Report 262233, United States Department of Agriculture, Economic Research Service.
    7. Asena Caner & Ed Wolff, 2002. "Asset Poverty in the United States, 1984-1999: Evidence from the Panel Study of Income Dynamics," Microeconomics 0209002, University Library of Munich, Germany.
    8. Rolf Aaberge & Magne Mogstad, 2006. "On the Definition and Measurement of Chronic Poverty," ICER Working Papers 36-2006, ICER - International Centre for Economic Research.
    9. Hoy, Michael & Zheng, Buhong, 2011. "Measuring lifetime poverty," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2544-2562.
    10. Olga Cantó & Carlos Gradín & Coral Del Río, 2012. "Pobreza Crónica, Transitoria Y Recurrente En España," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 20(1), pages 69-94, Spring.
    11. repec:qeh:ophiwp:ophiwp052 is not listed on IDEAS
    12. P. Jenkins, Stephen & Biewen, Martin, 2002. "Accounting for poverty differences between the United States, Great Britain and Germany," ISER Working Paper Series 2002-14, Institute for Social and Economic Research.
    13. Dean Jolliffe, 2001. "Estimating Sampling Variance from the Current Population Survey: A Synthetic Design Approach to Correcting Standard Errors," Econometrics 0110006, University Library of Munich, Germany, revised 20 Oct 2001.
    14. Laudicella, Mauro & Cookson, Richard & Jones, Andrew M. & Rice, Nigel, 2009. "Health care deprivation profiles in the measurement of inequality and inequity: An application to GP fundholding in the English NHS," Journal of Health Economics, Elsevier, vol. 28(6), pages 1048-1061, December.
    15. András Gábos & Tim Goedemé, 2016. "The Europe 2020 social inclusion indicators: main conclusions of the ImPRovE project on validity, methodological robustness and interrelationships," ImPRovE Working Papers 16/13, Herman Deleeck Centre for Social Policy, University of Antwerp.
    16. Timothy M. Smeeding, 2018. "The PSID in Research and Policy," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 29-47, November.
    17. 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.
    18. World Bank Group, 2015. "A Measured Approach to Ending Poverty and Boosting Shared Prosperity : Concepts, Data, and the Twin Goals," World Bank Publications - Books, The World Bank Group, number 20384, April.
    19. John Whalley & Ximing Yue, 2009. "Rural Income Volatility and Inequality in China," CESifo Economic Studies, CESifo Group, vol. 55(3-4), pages 648-668.
    20. Joan R Rodgers & John L. Rodgers, 2010. "Chronic and Transitory Poverty over the Life Cycle," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 13(2), pages 117-136.
    21. Rodrigo Carrillo Valles & Patricia Lopez Rodriguez & Isidro Soloaga, 2020. "Dinamicas de pobreza en Mexico, 2008-2018," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 17(2), pages 7-32, Julio-Dic.
    22. Henrietta A. Asiamah, 2021. "Childhood Chronic Poverty Estimations: Looking Beyond a Count Index," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 185-215, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hdl:wpaper:1602. 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: Santiago Burone (email available below). General contact details of provider: https://edirc.repec.org/data/csbuabe.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.