IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/113407.html
   My bibliography  Save this paper

Changes in the Italian wage distribution: the role of routine and social tasks

Author

Listed:
  • Barbieri, Teresa

Abstract

A broad economic literature has analyzed changes in the wage structure using a taskbased framework. This paper complements this literature by providing evidence on the relationship between the task content of occupation (routine and social tasks) and wage inequality among Italian employees using unconditional quantile regressions (UQRs). This article also quantifies the contribution of changes in occupational task prices and other factors to changes in the distribution of wages over the 2009-2019 period using the RIF decomposition approach. Results show that behind the almost flat trend of wage inequality observed for the last decade operate divergent forces that counterbalance each other. In particular, changes in the reward for social tasks operate in an inequalityenhancing direction. However, changes in the wage structure linked to other factors, such as education and sector of economic activity, go in the opposite direction and offset the contribution of social task-intensive occupations.

Suggested Citation

  • Barbieri, Teresa, 2021. "Changes in the Italian wage distribution: the role of routine and social tasks," MPRA Paper 113407, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:113407
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/113407/10/MPRA_paper_113407.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    3. Naticchioni, Paolo & Ragusa, Giuseppe & Massari, Riccardo, 2014. "Unconditional and Conditional Wage Polarization in Europe," IZA Discussion Papers 8465, Institute of Labor Economics (IZA).
    4. Lex Borghans & Bas Ter Weel & Bruce A. Weinberg, 2014. "People Skills and the Labor-Market Outcomes of Underrepresented Groups," ILR Review, Cornell University, ILR School, vol. 67(2), pages 287-334, April.
    5. João M R Pereira & Aurora Galego, 2020. "Diverging trends of wage inequality in Europe," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 566-566.
    6. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    9. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    10. Francesca Carta, 2020. "Timely Indicators for Inequality and Poverty Using the Italian Labour Force Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 41-65, May.
    11. 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.
    12. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    13. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    14. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    15. Francesca Carta & Marta De Philippis, 2021. "The impact of the COVID-19 shock on labour income inequality: evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 606, Bank of Italy, Economic Research and International Relations Area.
    16. 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.
    17. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    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. 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).
    3. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    4. repec:hal:spmain:info:hdl:2441/13fti1jo4t8vjpe6ko3qrrv2nv is not listed on IDEAS
    5. Francesco Bloise & Irene Brunetti & Valeria Cirillo, 2022. "Firm strategies and distributional dynamics: labour share in Italian medium-large firms," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 623-655, July.
    6. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    7. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    8. 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.
    9. Vahagn Jerbashian, 2019. "Automation and Job Polarization: On the Decline of Middling Occupations in Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 1095-1116, October.
    10. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    11. 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).
    12. Sara Amoroso & Pietro Moncada-Paternò-Castello, 2018. "Inward Greenfield FDI and Patterns of Job Polarization," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    13. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    14. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    15. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    16. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
    17. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    18. Black, Sandra E. & Muller, Chandra & Spitz-Oener, Alexandra & He, Ziwei & Hung, Koit & Warren, John Robert, 2021. "The importance of STEM: High school knowledge, skills and occupations in an era of growing inequality," Research Policy, Elsevier, vol. 50(7).
    19. Suzanne Kok & Bas ter Weel, 2014. "Cities, Tasks, And Skills," Journal of Regional Science, Wiley Blackwell, vol. 54(5), pages 856-892, November.
    20. Nicola Cassandro & Marco Centra & Dario Guarascio & Piero Esposito, 2021. "What drives employment–unemployment transitions? Evidence from Italian task-based data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1109-1147, October.
    21. Marin, Giovanni & Vona, Francesco, 2023. "Finance and the reallocation of scientific, engineering and mathematical talent," Research Policy, Elsevier, vol. 52(5).

    More about this item

    Keywords

    wage distribution; occupational tasks; unconditional quantile regression; RIF decomposition;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • 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:pra:mprapa:113407. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.