IDEAS home Printed from https://ideas.repec.org/a/rbp/esteco/ree-36-04.html
   My bibliography  Save this article

Estimación semiparamétrica de escalas de equivalencia: Una aplicación a las encuestas de hogares del Perú

Author

Listed:
  • Asencios, Roger

Abstract

La presente investigación tiene como objetivo estimar las escalas de equivalencia que se originan del consumo de los hogares en el Perú. Es de resaltar que en el Perú no existen trabajos de investigación aplicados a la estimación de escalas de equivalencia. Se han estimado dos modelos semiparamétricos utilizando la Encuesta Nacional de Hogares 2014 (ENAHO). Los resultados indican que, desde los gastos efectivos realizados por los hogares, las economías de escala son mayores a las consideradas con el enfoque per cápita y también a las escalas implícitas derivadas de la escala de requerimientos calóricos.

Suggested Citation

  • Asencios, Roger, 2018. "Estimación semiparamétrica de escalas de equivalencia: Una aplicación a las encuestas de hogares del Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 36, pages 75-89.
    • Handle: RePEc:rbp:esteco:ree-36-04
    as

    Download full text from publisher

    File URL: https://www.bcrp.gob.pe/docs/Publicaciones/Revista-Estudios-Economicos/36/ree-36-asencios.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ralf A. Wilke, 2006. "Semi-parametric estimation of consumption-based equivalence scales: the case of Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 781-802.
    2. Mancero, Xavier, 2001. "Escalas de equivalencia: reseña de conceptos y métodos," Estudios Estadísticos 4773, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. Arthur Lewbel, 1985. "A Unified Approach to Incorporating Demographic or Other Effects into Demand Systems," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(1), pages 1-18.
    4. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    5. Brigitte Buhmann & Lee Rainwater & Guenther Schmaus & Timothy M. Smeeding, 1988. "Equivalence Scales, Well‐Being, Inequality, And Poverty: Sensitivity Estimates Across Ten Countries Using The Luxembourg Income Study (Lis) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    6. Francisco Javier Lasso, 2003. "Economías de escala en los hogares y la pobreza," Revista de Economía del Rosario, Universidad del Rosario, June.
    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. Francisco Javier Lasso V. & Cristian Camilo Frasser L., 2015. "Calidad del empleo y bienestar: un análisis con escalas de equivalencia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 33(77), pages 117-132, June.
    2. Betti Gianni & Karadag Mehmet Ali & Sarica Ozlem & Ucar Baris, 2017. "Regional differences in equivalence scales in Turkey," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 13(1), pages 63-69.
    3. Christian Dudel & Jan Marvin Garbuszus & Julian Schmied, 2021. "Assessing differences in household needs: a comparison of approaches for the estimation of equivalence scales using German expenditure data," Empirical Economics, Springer, vol. 60(4), pages 1629-1659, April.
    4. Katarzyna Growiec & Jakub Growiec, 2016. "Bridging Social Capital and Individual Earnings: Evidence for an Inverted U," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 601-631, June.
    5. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    6. Vincenzo Atella & Jay Coggins & Federico Perali, 2005. "Aversion to inequality in Italy and its determinants," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(2), pages 117-144, January.
    7. Deniz Sevinc & Edgar Mata Flores & Simon Collinson, 2020. "Are there inequality spillovers? Evidence through a modified inequality measure and European dynamics of inequality," Working Papers 545, ECINEQ, Society for the Study of Economic Inequality.
    8. Pedro Salas-Rojo & Juan Gabriel Rodríguez, 2022. "Inheritances and wealth inequality: a machine learning approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 27-51, March.
    9. Akanksha Srivastava & Sanjay Mohanty, 2012. "Poverty Among Elderly in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 109(3), pages 493-514, December.
    10. Cem Baslevent & Meltem Dayoglu, 2005. "The Effect of Squatter Housing on Income Distribution in Urban Turkey," Urban Studies, Urban Studies Journal Limited, vol. 42(1), pages 31-45, January.
    11. Bucher, Axel & El Ghouch, Anouar & Van Keilegom, Ingrid, 2014. "Single-index quantile regression models for censored data," LIDAM Discussion Papers ISBA 2014001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    12. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    13. Bruce Headey & Peter Krause & Roland Habich, 1993. "East Germany: Rising Incomes, Unchanged Inequality and the Impact of Redistributive Government 1990-92," Discussion Papers of DIW Berlin 72, DIW Berlin, German Institute for Economic Research.
    14. Leonardo Gasparini & Mariana Marchionni & Walter Sosa Escudero, 2000. "Characterization of inequality changes through microeconometric decompositions. The case of Greater Buenos Aires," IIE, Working Papers 025, IIE, Universidad Nacional de La Plata.
    15. Nojedehi, Pedram & Gunay, Burak & O'Brien, William & Papineau, Maya & Azar, Elie & Schweiker, Marcel & Ulukavak Harputlugil, Gülsu & Ganiç Saglam, Nese, 2024. "Examining disparities in energy poverty and indoor environmental quality satisfaction among Canadian households," Energy Policy, Elsevier, vol. 194(C).
    16. Mittelhammer, Ron C. & Judge, George, 2011. "A family of empirical likelihood functions and estimators for the binary response model," Journal of Econometrics, Elsevier, vol. 164(2), pages 207-217, October.
    17. Lars Osberg, 2002. "How Much does Work Matter for Inequality? Time, Money and Inequality in International Perspective," LIS Working papers 326, LIS Cross-National Data Center in Luxembourg.
    18. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    19. Torregrosa-Hetland, Sara, 2016. "Sticky Income Inequality In The Spanish Transition (1973-1990)," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 34(1), pages 39-80, March.
    20. Boyd H. Hunter & Steven Kennedy & Nicholas Biddle, 2004. "Indigenous and Other Australian Poverty: Revisiting the Importance of Equivalence Scales," The Economic Record, The Economic Society of Australia, vol. 80(251), pages 411-422, December.

    More about this item

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:rbp:esteco:ree-36-04. 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: Departamento de Publicaciones Económicas (email available below). General contact details of provider: https://edirc.repec.org/data/bcrgvpe.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.