IDEAS home Printed from https://ideas.repec.org/p/pcp/pucwps/wp00442.html
   My bibliography  Save this paper

Has the Gender Wage Gap been Reduced during the 'Peruvian Growth Miracle?' A Distributional Approach

Author

Listed:
  • Juan Manuel del Pozo Segura

    (Departamento de Economía de la Pontificia Universidad Católica del Perú)

Abstract

Between 2004 and 2014 the Peruvian economy experienced a noticeable growth which surpassed most of Latin American countries during that period, leading some to quote this episode as the Peruvian Growth Miracle. Yet, growth of wages would not have been accompanied by an equally marked reduction in wage differentials between men and women despite government efforts to address this issue. Consequently, this study analyzes and decomposes the gender wage gap in Peru for 2004 and 2014 using the Machado and Mata (2005) decomposition method correcting for sample selection bias in the context of quantile regression (Albrecht et al. 2009). This allows to decompose the differential in terms of the endowment and treatment effect at each point of the income distribution instead of, as has been customary in previous studies for Peru, only at the average of the distribution. Using data from the National Household Survey, we find that unconditional and conditional gaps, which favour men, have deepened between 2004 and 2014 at every point of the distribution, while there is evidence of sticky floors and glass ceilings in both years. Decompositions consistently reveal that, for both years, discrimination against women is the most important factor behind gender gaps at each percentile even though the effect of endowments plays in favor of those. All in all, this raise doubts about the aggregate effectiveness of pro-equity policies applied in recent years. JEL Classification-JEL: C01, J08, J16, O12

Suggested Citation

  • Juan Manuel del Pozo Segura, 2017. "Has the Gender Wage Gap been Reduced during the 'Peruvian Growth Miracle?' A Distributional Approach," Documentos de Trabajo / Working Papers 2017-442, Departamento de Economía - Pontificia Universidad Católica del Perú.
  • Handle: RePEc:pcp:pucwps:wp00442
    as

    Download full text from publisher

    File URL: http://repositorio.pucp.edu.pe/index/handle/123456789/126772
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gustavo, Yamada & Pablo, Lavado & Luciano, Velarde, 2014. "Habilidades no cognitivas y brecha de género salarial en el Perú," Estudios Públicos, Centro de Estudios Públicos, vol. 0(135), pages 89-129.
    2. Juan Pablo Atal & Hugo Nopo & Natalia Winder, 2009. "New Century, Old Disparities: Gender and Ethnic Wage Gaps in Latin America," Research Department Publications 4640, Inter-American Development Bank, Research Department.
    3. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    4. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Rising Wage Inequality: The Role of Composition and Prices," NBER Working Papers 11628, National Bureau of Economic Research, Inc.
    5. World Bank, 2015. "Peru Building on Success," World Bank Publications - Reports 22984, The World Bank Group.
    6. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    7. Reuben Gronau, 1973. "Wage Comparisons -A Selectivity Bias," NBER Working Papers 0013, National Bureau of Economic Research, Inc.
    8. Bassett, Gilbert W. & Koenker, Roger W., 1986. "Strong Consistency of Regression Quantiles and Related Empirical Processes," Econometric Theory, Cambridge University Press, vol. 2(2), pages 191-201, August.
    9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    10. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
    11. Nguyen, Binh T. & Albrecht, James W. & Vroman, Susan B. & Westbrook, M. Daniel, 2007. "A quantile regression decomposition of urban-rural inequality in Vietnam," Journal of Development Economics, Elsevier, vol. 83(2), pages 466-490, July.
    12. Coppola, Andrea & Calvo-Gonzalez, Oscar, 2011. "Higher wages, lower pay : public vs. private sector compensation in Peru," Policy Research Working Paper Series 5858, The World Bank.
    13. Deininger, Klaus & Squire, Lyn, 1998. "New ways of looking at old issues: inequality and growth," Journal of Development Economics, Elsevier, vol. 57(2), pages 259-287.
    14. Juan Pablo Atal & Hugo Nopo & Natalia Winder, 2009. "New Century, Old Disparities: Gender and Ethnic Wage Gaps in Latin America," Research Department Publications 4640, Inter-American Development Bank, Research Department.
    15. Cecilia Garavito, 2011. "Desigualdad en los ingresos: género y lengua materna," Capítulos de Libros PUCP / Chapters of PUCP books, in: Javier M.Iguíñiz Echevarría & Janina León (ed.), Desigualdad Distributiva en el Perú: Dimensiones, edition 1, chapter 6, pages 235-266, Fondo Editorial - Pontificia Universidad Católica del Perú.
    16. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    17. 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.
    18. Persson, Torsten & Tabellini, Guido, 1994. "Is Inequality Harmful for Growth?," American Economic Review, American Economic Association, vol. 84(3), pages 600-621, June.
    19. World Bank, 2010. "Peru - Recent Economic Development in Infrastructure : Volume 2. Investing in Infrastructure as an Engine for Growth - Spending More, Faster, and Spending Better," World Bank Publications - Reports 12539, The World Bank Group.
    20. World Bank, 2010. "Peru - Recent Economic Development in Infrastructure : Volume1. Investing in Infrastructure as an Engine for Growth - Spending More, Faster and Spending Better," World Bank Publications - Reports 12501, The World Bank Group.
    21. Adams, Richard H. Jr., 2003. "Economic growth, inequality, and poverty : findings from a new data set," Policy Research Working Paper Series 2972, The World Bank.
    22. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    23. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    24. Arda Aktas & Gokce Uysal, 2011. "Explaining the Gender Wage Gap in Turkey Using the Wage Structure Survey," Working Papers 005, Bahcesehir University, Betam, revised Mar 2012.
    25. José A. F. Machado & José Mata, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465, May.
    26. Moshe Buchinsky, 2001. "Quantile regression with sample selection: Estimating women's return to education in the U.S," Empirical Economics, Springer, vol. 26(1), pages 87-113.
    27. Pham, T. Hung & Reilly, Barry, 2007. "Ethnic Wage Inequality in Vietnam: Empirical Evidence from 2002," MPRA Paper 6477, University Library of Munich, Germany.
    28. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Waldo Mendoza Bellido, 2017. "Teaching Modern Macroeconomics in the Traditional Language: The IS-MR-AD-AS Model," Documentos de Trabajo / Working Papers 2017-443, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Giannina Vaccaro & Maria Pia Basurto & Arlette Beltrán & Mariano Montoya, 2022. "The Gender Wage Gap in Peru: Drivers, Evolution, and Heterogeneities," Social Inclusion, Cogitatio Press, vol. 10(1), pages 19-34.

    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. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    2. Philippe Van Kerm & Seunghee Yu & Chung Choe, 2016. "Decomposing quantile wage gaps: a conditional likelihood approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 507-527, August.
    3. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, Luxembourg Institute of Socio-Economic Research (LISER).
    4. Thomas Grandner & Dieter Gstach, 2015. "Decomposing wage discrimination in Germany and Austria with counterfactual densities," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(1), pages 49-76, February.
    5. Thomas Grandner & Dieter Gstach, 2012. "Decomposing wage discrimination in Germany and Austria with counterfactual densities," Department of Economics Working Papers wuwp145, Vienna University of Economics and Business, Department of Economics.
    6. 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.
    7. Qu, Zhaopeng (Frank) & Zhao, Zhong, 2008. "Urban-Rural Consumption Inequality in China from 1988 to 2002: Evidence from Quantile Regression Decomposition," IZA Discussion Papers 3659, Institute of Labor Economics (IZA).
    8. Gustavo Canavire-Bacarreza & Luis C. Carvajal-Osorio, 2020. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," Journal of Labor Research, Springer, vol. 41(1), pages 128-168, June.
    9. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    10. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    11. Töpfer, Marina, 2017. "Detailed RIF Decomposition with Selection - The Gender Pay Gap in Italy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168422, Verein für Socialpolitik / German Economic Association.
    12. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
    13. Joanna Landmesser, 2016. "Decomposition of differences In income distributions Using quantile regression," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(2), pages 331-348, June.
    14. Carrillo, Paul & Yezer, Anthony, 2009. "Alternative measures of homeownership gaps across segregated neighborhoods," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 542-552, September.
    15. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    16. Philippe Van Kerm, 2013. "Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pages 465-482, August.
    17. Martinez-Sanchis, Elena & Mora, Juan & Kandemir, Ilker, 2012. "Counterfactual distributions of wages via quantile regression with endogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3212-3229.
    18. Joanna Małgorzata Landmesser, 2016. "Decomposition Of Differences In Income Distributions Using Quantile Regression," Statistics in Transition New Series, Polish Statistical Association, vol. 17(2), pages 331-348, June.
    19. Grandner, Thomas & Gstach, Dieter, 2012. "Decomposing wage discrimination in Germany and Austria with counterfactual densities," Department of Economics Working Paper Series 145, WU Vienna University of Economics and Business.
    20. Karolina Goraus & Joanna Tyrowicz, 2013. "The Goodwill Effect? Female Access to the Labor Market Over Transition: A Multicountry Analysis," Working Papers 2013-19, Faculty of Economic Sciences, University of Warsaw.

    More about this item

    Keywords

    Gender Wage Gap; Distributional Decomposition; Inequality; Peru; Quantile regressions;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    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:pcp:pucwps:wp00442. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/depucpe.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.