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Earnings Losses of Displaced Workers: Evidence from a Matched Employer-employee Data Set

Author

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  • Anabela Carneiro

    (CETE, Faculdade de Economia, Universidade do Porto)

  • Pedro Portugal

    (Banco de Portugal and Universidade Nova de Lisboa)

Abstract

This paper examines the long-term earnings losses of displaced workers in Portugal, using a nationally representative longitudinal linked employer-employee data set. The results show that four years after displacement the earnings of displaced workers remain around 9% (women) to 12% (men) below their counterfactual expected levels. The post-displacement earnings losses are mainly associated with the loss of tenure within the firm and, to a lesser extent, to the loss of sector-specific features. Furthermore, workers who experienced a spell of nonemployment are the most affected by job displacement. Finally, this study points to the importance of controlling for employers' characteristics in this type of wages-dynamic analysis, since there are systematic differences in earnings between displaced and non-displaced workers that stem from differences in firm characteristics. Ignoring them may confound the evaluation of the earnings losses.

Suggested Citation

  • Anabela Carneiro & Pedro Portugal, 2006. "Earnings Losses of Displaced Workers: Evidence from a Matched Employer-employee Data Set," CEF.UP Working Papers 0607, Universidade do Porto, Faculdade de Economia do Porto.
    • Handle: RePEc:por:cetedp:0607
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    Cited by:

    1. Yolanda Kodrzycki, 2007. "Using unexpected recalls to examine the long-term earnings effects of job displacement," Working Papers 07-2, Federal Reserve Bank of Boston.
    2. Antonio Martins-Neto & Xavier Cirera & Alex Coad, 2024. "Routine-biased technological change and employee outcomes after mass layoffs: evidence from Brazil," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 555-583.
    3. Antoine Bertheau & Edoardo Maria Acabbi & Cristina Barceló & Andreas Gulyas & Stefano Lombardi & Raffaele Saggio, 2023. "The Unequal Consequences of Job Loss across Countries," American Economic Review: Insights, American Economic Association, vol. 5(3), pages 393-408, September.
    4. Lorenzo Caliendo & Luca David Opromolla & Fernando Parro & Alessandro Sforza, 2021. "Goods and Factor Market Integration: A Quantitative Assessment of the EU Enlargement," Journal of Political Economy, University of Chicago Press, vol. 129(12), pages 3491-3545.
    5. Eliason, Marcus, 2011. "Assistant and auxiliary nurses in crisis times: earnings and employment following public sector job loss in the 1990s," Working Paper Series 2011:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Garcia Perez, Jose Ignacio & Rebollo Sanz, Yolanda, 2005. "Wage changes through job mobility in Europe: A multinomial endogenous switching approach," Labour Economics, Elsevier, vol. 12(4), pages 531-555, August.
    7. Giordano Mion & Luca David Opromolla, 2011. "Managers' Mobility, Trade Status and Wages," CEP Discussion Papers dp1044, Centre for Economic Performance, LSE.
    8. Ossi Korkeamäki & Jukka Appelqvist & Tomi Kyyrä, 2007. "Quantile Regression Estimates of the Earnings Losses of Displaced Workers," EcoMod2007 23900045, EcoMod.
    9. Kent Eliasson & Pär Hansson, 2016. "Are workers more vulnerable in tradable industries?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(2), pages 283-320, May.
    10. , 2019. "Job Displacement and Job Mobility: The Role of Joblessness," Working Papers 19-27R, Federal Reserve Bank of Cleveland, revised 31 Aug 2021.
    11. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2015. "Losing Heart? The Effect of Job Displacement on Health," ILR Review, Cornell University, ILR School, vol. 68(4), pages 833-861, August.
    12. Appelqvist, Jukka, 2007. "Wage and Earnings Losses of Displaced Workers in Finland," Discussion Papers 422, VATT Institute for Economic Research.
    13. Thomas Zwick, 2012. "Earnings Losses after Non-Employment Increase with Age," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 64(1), pages 2-19, January.
    14. Anton Nilsson, 2015. "Who suffers from unemployment? The role of health and skills," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-24, December.
    15. Sérgio Lagoa & Fátima Suleman, 2016. "Industry- and occupation-specific human capital: evidence from displaced workers," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(1), pages 44-68, April.
    16. Verónica Amarante & Rodrigo Arim & Andrés Dean, 2014. "The Effects of Being Out of the Labor Market on Subsequent Wages: Evidence for Uruguay," Journal of Labor Research, Springer, vol. 35(1), pages 39-62, March.
    17. Bruce Fallick & John Haltiwanger & Erika McEntarfer, 2012. "Job-to-job flows and the consequences of job separations," Finance and Economics Discussion Series 2012-73, Board of Governors of the Federal Reserve System (U.S.).
    18. Kyyrä, Tomi & Korkeamäki, Ossi, 2008. "A Distributional Analysis of Displacement Costs in an Economic Depression and Recovery," Discussion Papers 465, VATT Institute for Economic Research.
    19. Rosario Aldunate & Gabriela Contreras & Matías Tapia, 2019. "Sectoral Transitions Between Formal Wage Jobs in Chile," Working Papers Central Bank of Chile 836, Central Bank of Chile.
    20. Nóirín McCarthy & Peter W. Wright, 2018. "The Impact of Displacement on the Earnings of Workers in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 373-417.
    21. Pedro Portugal, 2006. "Wage Setting in the Portuguese Labor Market: A Microeconomic Approach," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

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    More about this item

    Keywords

    Displacement; earnings losses determinants; firm characteristics;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

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