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. 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.
    3. Angela Daley & Thesia I. Garner & Shelley Phipps & Eva Sierminska, 2020. "Differences across Place and Time in Household Expenditure Patterns: Implications for the Estimation of Equivalence Scales," Economic Working Papers 520, Bureau of Labor Statistics.
    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. Herwig Immervoll & Horacio Levy & José Ricardo Nogueira & Cathal O´Donoghue & Rozane Bezerra de Siqueira, 2005. "The Impact of Brazil´s Tax-Benefit System on Inequality and Poverty," Ibero America Institute for Econ. Research (IAI) Discussion Papers 117, Ibero-America Institute for Economic Research.
    7. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    8. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    9. 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.
    10. Lanot, Gauthier & Walker, Ian, 1998. "The union/non-union wage differential: An application of semi-parametric methods," Journal of Econometrics, Elsevier, vol. 84(2), pages 327-349, June.
    11. 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.
    12. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    13. 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.
    14. 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.
    15. Burkhauser, Richard V. & Larrimore, Jeff & Simon, Kosali I., 2012. "A "Second Opinion" on the Economic Health of the American Middle Class," National Tax Journal, National Tax Association;National Tax Journal, vol. 65(1), pages 7-32, March.
    16. 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).
    17. Klein, Roger & Vella, Francis, 2010. "Estimating a class of triangular simultaneous equations models without exclusion restrictions," Journal of Econometrics, Elsevier, vol. 154(2), pages 154-164, February.
    18. Jing Yang & Pundarik Mukhopadhaya, 2019. "Is the ADB’s Conjecture on Upward Trend in Poverty for China Right? An Analysis of Income and Multidimensional Poverty in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 451-477, June.
    19. 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.
    20. Ming-Yueh Huang & Chin-Tsang Chiang, 2017. "Estimation and Inference Procedures for Semiparametric Distribution Models with Varying Linear-Index," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(2), pages 396-424, June.

    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.