IDEAS home Printed from https://ideas.repec.org/p/sad/wpaper/159.html
   My bibliography  Save this paper

RIF Regression via Sensitivity Curves

Author

Listed:
  • Javier Alejo

    (Departmento de Economía, Universidad de la República, Uruguay)

  • Gabriel Montes Rojas

    (Departmento de Economía, Universidad de Buenos Aires)

  • Walter Sosa Escudero

    (Department of Economics, Universidad de San Andrés)

Abstract

This paper proposes an empirical method to implement the recentered influence function (RIF) regression of Firpo, Fortin and Lemieux (2009), a relevant method to study the effect of covariates on man statistics beyond the mean. In empirically relevant situations where the influence function is not available or difficult to compute, we suggest to use the sensitivity curve (Tukey, 1977) as a feasible alternative. This may be computationally cumbersome when the sample size is large. The relevance of the proposed strategy derives from the fact that, under general conditions, the sensitivity curve converges in probability to the influence function. In order to save computational time we propose to use a cubic splines non-parametric method for a random subsample and then to interpolate to the rest of the cases where it was not computed. Monte Carlo simulations show good finite sample properties. We illustrate the proposed estimator with an application to the polarization index of Duclos, Esteban and Ray (2004).

Suggested Citation

  • Javier Alejo & Gabriel Montes Rojas & Walter Sosa Escudero, 2021. "RIF Regression via Sensitivity Curves," Working Papers 159, Universidad de San Andres, Departamento de Economia, revised Dec 2021.
  • Handle: RePEc:sad:wpaper:159
    as

    Download full text from publisher

    File URL: https://webacademicos.udesa.edu.ar/pub/econ/doc159.pdf
    File Function: Version, December 2021.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    2. Roger B. Newson, 2012. "Sensible parameters for univariate and multivariate splines," Stata Journal, StataCorp LP, vol. 12(3), pages 479-504, September.
    3. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    4. Jean-Yves Duclos & Joan Esteban & Debraj Ray, 2004. "Polarization: Concepts, Measurement, Estimation," Econometrica, Econometric Society, vol. 72(6), pages 1737-1772, November.
    5. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    6. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
    7. James B. Davies & Nicole M. Fortin & Thomas Lemieux, 2017. "Wealth inequality: Theory, measurement and decomposition," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1224-1261, December.
    8. Leonardo Gasparini & Matias Horenstein & Ezequiel Molina & Sergio Olivieri, 2008. "Income Polarization in Latin America: Patterns and Links with Institutions and Conflict," Oxford Development Studies, Taylor & Francis Journals, vol. 36(4), pages 461-484.
    9. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    10. Nicola Orsini & Sander Greenland, 2011. "A procedure to tabulate and plot results after flexible modeling of a quantitative covariate," Stata Journal, StataCorp LP, vol. 11(1), pages 1-29, March.
    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. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).
    2. Maximilian Longmuir & Carsten Schröde & Matteo Targa, 2020. "De-Routinization of Jobs and Polarization of Earnings: Evidence from 35 Countries," Working Papers 1397, Economic Research Forum, revised 20 Jun 2020.
    3. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational Tasks and Wage Inequality in Germany: A Decomposition Analysis," IZA Discussion Papers 15702, Institute of Labor Economics (IZA).
    4. Martin Biewen & Matthias Seckler, 2019. "Unions, Internationalization, Tasks, Firms, and Worker Characteristics: A Detailed Decomposition Analysis of Rising Wage Inequality in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 461-498, December.
    5. Brzezinski, Michal & Sałach, Katarzyna, 2021. "Factors that account for the wealth inequality differences between post-socialist countries," Economic Modelling, Elsevier, vol. 105(C).
    6. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    7. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    8. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    9. Michel Lubrano & Abdoul Aziz Junior Ndoye, 2014. "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992–2009," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 129-153, May.
    10. Luis Ayala & Javier Mart n-Rom n & Juan Vicente, 2023. "What Contributes to Rising Inequality in Large Cities?," LIS Working papers 850, LIS Cross-National Data Center in Luxembourg.
    11. 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.
    12. Hansen, Henrik & Rand, John & Win, Ngu Wah, 2022. "The gender wage gap in Myanmar: Adding insult to injury?," Journal of Asian Economics, Elsevier, vol. 81(C).
    13. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Decomposition of changes in the consumption of macronutrients in Vietnam between 2004 and 2014," Economics & Human Biology, Elsevier, vol. 31(C), pages 259-275.
    14. Michał Brzeziński & Katarzyna Sałach, 2020. "Why wealth inequality differs between post-socialist countries?," Working Papers 2020-14, Faculty of Economic Sciences, University of Warsaw.
    15. Sarah Voitchovsky & Bertrand Maitre & Brian Nolan, 2012. "Wage Inequality in Ireland’s “Celtic Tiger” Boom," The Economic and Social Review, Economic and Social Studies, vol. 43(1), pages 99-133.
    16. Leila Gautham & Nancy Folbre & Kristin Smith, 2024. "Earnings inequality and the expansion of care services in the United States, 1985–2019," Industrial Relations Journal, Wiley Blackwell, vol. 55(2), pages 119-140, March.
    17. Julián Martinez Correa & Carlo Lombardo & Belén Bentivegna, 2018. "Convenio Colectivo, Sindicatos y Dispersión Salarial: Evidencia de Argentina," CEDLAS, Working Papers 0232, CEDLAS, Universidad Nacional de La Plata.
    18. Fredrik Andersson & Elizabeth E. Davis & Matthew L. Freedman & Julia I. Lane & Brian P. Mccall & Kristin Sandusky, 2012. "Decomposing the Sources of Earnings Inequality: Assessing the Role of Reallocation," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 51(4), pages 779-810, October.
    19. Kaltenberg, Mary & Foster-McGregor, Neil, 2020. "The impact of automation on inequality across Europe," MERIT Working Papers 2020-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).

    More about this item

    Keywords

    recentered in uence function; sensitivity; inequality; polarization;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:sad:wpaper:159. 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: Maria Amelia Gibbons (email available below). General contact details of provider: https://edirc.repec.org/data/desanar.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.