IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v41y2014i7p1395-1407.html
   My bibliography  Save this article

Optimum design-based ratio estimators of the distribution function

Author

Listed:
  • J.F. Mu�oz
  • E. �lvarez
  • M. Rueda

Abstract

The ratio method is commonly used to the estimation of means and totals. This method was extended to the problem of estimating the distribution function. An alternative ratio estimator of the distribution function is defined. A result that compares the variances of the aforementioned ratio estimators is used to define optimum design-based ratio estimators of the distribution function. Different empirical results indicate that the optimum ratio estimators can be more efficient than alternative ratio estimators. In addition, we show by simulations that alternative ratio estimators can have large biases, whereas biases of the optimum ratio estimators are negligible in this situation.

Suggested Citation

  • J.F. Mu�oz & E. �lvarez & M. Rueda, 2014. "Optimum design-based ratio estimators of the distribution function," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(7), pages 1395-1407, July.
    • Handle: RePEc:taf:japsta:v:41:y:2014:i:7:p:1395-1407
    DOI: 10.1080/02664763.2013.870983
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2013.870983
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2013.870983?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nicholas T. Longford & Maria Grazia Pittau & Roberto Zelli & Riccardo Massari, 2012. "Poverty and inequality in European regions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1557-1576, January.
    2. Sarjinder Singh & Housila Singh & Lakshmi Upadhyaya, 2007. "Chain ratio and regression type estimators for median estimation in survey sampling," Statistical Papers, Springer, vol. 48(1), pages 23-46, January.
    3. Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications - Books, The World Bank Group, number 11985, December.
    Full references (including those not matched with items on IDEAS)

    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. Joshua Aizenman & Yothin Jinjarak, 2012. "Income Inequality, Tax Base and Sovereign Spreads," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 68(4), pages 431-444, December.
    2. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    3. Abre-Rehmat Qurat-ul-Ann & Faisal Mehmood Mirza, 2021. "Multidimensional Energy Poverty in Pakistan: Empirical Evidence from Household Level Micro Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 211-258, May.
    4. Eleftherios Giovanis & Oznur Ozdamar, 2021. "Regional employment support programs and multidimensional poverty of youth in Turkey," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 583-609, December.
    5. Sunil Khosla & Pradyot Ranjan Jena, 2022. "Analyzing vulnerability to poverty and assessing the role of universal public works and food security programs to reduce it: Evidence from an eastern Indian state," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2296-2316, November.
    6. Magdalena Correo Henao & Daniela Amaya Castro & Mario Andrés Ospina Ramírez & Federico Suárez Ricaurte, 2021. "Pobreza y desigualdad prospectiva 2030. XXI jornadas de derecho constitucional constitucionalismo en ransformación. Prospectiva 2030," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1298, October.
    7. Pablo Aragonés‐Beltrán & Mª. Carmen González‐Cruz & Astrid León‐Camargo & Rosario Viñoles‐Cebolla, 2023. "Assessment of regional development needs according to criteria based on the Sustainable Development Goals in the Meta Region (Colombia)," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 1101-1121, April.
    8. Pinaki Das & Bibek Paria & Shama Firdaush, 2021. "Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 469-501, January.
    9. Miguel A. Márquez & Elena Lasarte & Marcelo Lufin, 2019. "The Role of Neighborhood in the Analysis of Spatial Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 245-273, January.
    10. Dilla, Diana, 2017. "Staatsverschuldung und Verschuldungsmentalität [Public Debt and Debt Mentality]," MPRA Paper 79432, University Library of Munich, Germany.
    11. Amit Nandan & Hrushikesh Mallick, 2022. "Do growth-promoting factors induce income inequality in a transitioning large developing economy? An empirical evidence from Indian states," Economic Change and Restructuring, Springer, vol. 55(2), pages 1109-1139, May.
    12. Peter Saunders & Kuriko Watanabe & Melissa Wong, 2015. "Poverty and Housing Among Older People: Comparing Australia and Japan," Poverty & Public Policy, John Wiley & Sons, vol. 7(3), pages 223-239, September.
    13. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    14. Siddig, Khalid H.A. & Flaig, Dorothee & Luckmann, Jonas & Grethe, Harald, 2011. "A 2004 Social Accounting Matrix for Israel: Documentation of an Economy-Wide Database with a Focus on Agriculture, the Labour Market, and Income Distribution," Working Papers 110156, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
    15. Emily Schmidt & Rachel Gilbert & Brian Holtemeyer & Kristi Mahrt, 2021. "Poverty analysis in the lowlands of Papua New Guinea underscores climate vulnerability and need for income flexibility," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 171-191, January.
    16. Giesecke, James A. & Nhi, Tran Hoang, 2010. "Modelling value-added tax in the presence of multi-production and differentiated exemptions," Journal of Asian Economics, Elsevier, vol. 21(2), pages 156-173, April.
    17. Giménez, Lea & Jolliffe , Dean & Sharif, Iffath, 2014. "Bangladesh, a Middle Income Country by 2021: What Will It Take in terms of Poverty Reduction?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 37(1-2), pages 1-19, March-Jun.
    18. Oginni, Ayodeji & Ahonsi, Babatunde & Ukwuije, Francis, 2013. "Are female-headed households typically poorer than male-headed households in Nigeria?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 132-137.
    19. Clementi, Fabio & Molini, Vasco & Schettino, Francesco, 2018. "All that Glitters is not Gold: Polarization Amid Poverty Reduction in Ghana," World Development, Elsevier, vol. 102(C), pages 275-291.
    20. Engel, Melissa & Schaffner, Sandra, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 390, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    More about this item

    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:taf:japsta:v:41:y:2014:i:7:p:1395-1407. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.