Advanced Search
MyIDEAS: Login

Estimación de la función de distribución y cuantiles en la población de pobres/Estimation of the Distribution Function and Quantiles for the Population of Poor

Contents:

Author Info

  • ÁLVAREZ-VERDEJO, ENCARNACIÓN

    ()
    (Departamento de Métodos Cuantitativos para la Economía y la Empresa, UNIVERSIDAD DE GRANADA, ESPAÑA.)

  • ESTUDILLO-MARTÍNEZ, MARÍA DOLORES

    ()
    (Departamento de Estadística e Investigación Operativa, UNIVERSIDAD DE JAÉN, ESPAÑA.)

  • CASTILLO-GUTIÉRREZ, SONIA

    ()
    (Departamento de Estadística e Investigación Operativa, UNIVERSIDAD DE JAÉN, ESPAÑA.)

Registered author(s):

    Abstract

    La línea o umbral de pobreza es un indicador económico que permite clasificar a los individuos de una población como pobres o no. Los estudios del fenómeno de la pobreza prestan especial atención a la población de pobres, midiendo a partir de distintos indicadores la distribución y la intensidad de los pobres. Tales indicadores están basa¬dos en su mayoría en la función de distribución y en cuantiles. En este trabajo se plantea la estimación de estos parámetros en la población de pobres, y los estimadores presentados se evalúan numéricamente mediante estudios de simulación Monte Carlo y con datos extraídos de la Encuesta de Presupuestos Familiares. The poverty line is an economic indicator that divides a population into poor and non poor. Studies about poverty are highly interested on the population of poor, hence they measure the distribution and intensity of the poor through different indicators. Such indicators are generally based upon the distribution function and quantiles. Assuming an arbitrary sampling design, the estimation of the previous parameters is discussed in this paper. Proposed estimators are numerically evaluated via Monte Carlo simulation studies and using data extracted from the Spanish Household Panel Survey.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.revista-eea.net
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

    Volume (Year): 30 (2012)
    Issue (Month): (Diciembre)
    Pages: 1063 (26 pags.)

    as in new window
    Handle: RePEc:lrk:eeaart:30_3_3

    Contact details of provider:
    Postal: Beatriz Rodríguez Prado. Facultad de CC.EE. y EE. Avda. Valle del Esgueva. Valladolid 47011 SPAIN
    Phone: (34) 983 423320
    Fax: (34) 983 184568
    Web page: http://www.revista-eea.net
    More information through EDIRC

    Order Information:
    Email:
    Web: http://www.revista-eea.net

    Related research

    Keywords: Línea de pobreza; diseño muestral; coeficiente de asimetría; simulación Monte Carlo ; Poverty Line; Sampling Design; Skewness Coefficient; Monte Carlo Simulation.;

    Find related papers by JEL classification:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Jacques Silber, 2007. "Measuring Poverty: Taking a Multidimensional Perspective," Working Papers 2007-14, FEDEA.
    2. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
    3. Carlos Gradín (a) & Olga Cantó & Coral del Río, . "Inequality, Poverty And Mobility: Choosing Income Or Consumption As Welfare Indicators," Working Papers 18-04 Classification-JEL , Instituto de Estudios Fiscales.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:lrk:eeaart:30_3_3. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Beatriz Rodríguez Prado).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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