IDEAS home Printed from https://ideas.repec.org/p/aoz/wpaper/41.html
   My bibliography  Save this paper

RIF regression via sensitivity curves

Author

Listed:
  • Javier Alejo

    (IECON/Universidad de la República)

  • Gabriel Montes-Rojas

    (IIEP-BAIRES/Universidad de Buenos Aires/CONICET)

  • Walter Sosa Escudero

    (Universidad de San Andrés/CONICET)

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 many statistics beyond the mean. In practically relevant situations where the influence function is not available or difficult to compute, we suggest to use the sensitivity curve (Tukey, 1977). We illustrate the proposal 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 41, Red Nacional de Investigadores en Economía (RedNIE).
    • Handle: RePEc:aoz:wpaper:41
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1fW7JowHPIrnGcJa2qdvNoTYFJQdW171a/view
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Jean-Yves Duclos & Joan Esteban & Debraj Ray, 2004. "Polarization: Concepts, Measurement, Estimation," Econometrica, Econometric Society, vol. 72(6), pages 1737-1772, November.
    3. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    4. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    5. James B. Davies & Nicole M. Fortin & Thomas Lemieux, 2017. "Wealth inequality: Theory, measurement and decomposition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1224-1261, December.
    6. 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.
    7. 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.
    8. Roger B. Newson, 2012. "Sensible parameters for univariate and multivariate splines," Stata Journal, StataCorp LP, vol. 12(3), pages 479-504, September.
    9. 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.
    10. 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.
    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 Germany: A Decomposition Analysis," IZA Discussion Papers 15702, Institute of Labor Economics (IZA).
    2. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).
    3. 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.
    4. 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.
    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. Karolina Goraus & Joanna Tyrowicz & Lucas van der Velde, 2017. "How (Not) to make women work?," GRAPE Working Papers 1, GRAPE Group for Research in Applied Economics.
    11. Luis Ayala & Javier Martín-Román & Juan Vicente, 2023. "What Contributes to Rising Inequality in Large Cities?," LIS Working papers 850, LIS Cross-National Data Center in Luxembourg.
    12. 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.
    13. Kwabena Nyarko Addai & Wencong Lu & Omphile Temoso, 2021. "Are Female Rice Farmers Less Productive than Male Farmers? Micro-evidence from Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1997-2039, December.
    14. 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).
    15. Biewen, Martin & Seckler, Matthias, 2017. "Changes in the German Wage Structure: Unions, Internationalization, Tasks, Firms, and Worker Characteristics," IZA Discussion Papers 10763, Institute of Labor Economics (IZA).
    16. 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.
    17. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    18. Seneviratne, Prathi, 2020. "Gender wage inequality during Sri Lanka’s post-reform growth: A distributional analysis," World Development, Elsevier, vol. 129(C).
    19. Girma Gezimu Gebre & Hiroshi Isoda & Dil Bahadur Rahut & Yuichiro Amekawa & Hisako Nomura, 2021. "Gender Gaps in Market Participation Among Individual and Joint Decision-Making Farm Households: Evidence from Southern Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(3), pages 649-683, June.
    20. Michał Brzeziński & Katarzyna Sałach, 2020. "Why wealth inequality differs between post-socialist countries?," Working Papers 2020-14, Faculty of Economic Sciences, University of Warsaw.

    More about this item

    Keywords

    recentered influence function sensitivity polarization;

    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

    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:aoz:wpaper:41. 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: Laura Inés D Amato (email available below). General contact details of provider: https://edirc.repec.org/data/redniar.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.