IDEAS home Printed from https://ideas.repec.org/p/ecj/ac2004/61.html

Using Propensity Matching Estimators To Evaluate The Impact Of Privatisation On Wages

Author

Listed:
  • Natalia Pimenta Monteiro

Abstract

Whether the transfer of ownership rights to the private sector leads to a decline or increase in wage growth is theoretically ambiguous, given that the outcome depends on the uncertain interaction between firms and workers. Using propensity matching techniques, this article investigates the effects of privatization on wages in the Portuguese banking industry. The empirical results, obtained from Quadros de Pessoal for the period between 1989 and 1997, generally show a negative (positive) short-run (long-run) effect of privatization on relative wage growth for both men and women retained in the privatized firms. Moreover, the results show that the most educated and experienced (oldest) workers, as well as those in the high skill occupational categories, were more likely to experience a negative wage effect.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Natalia Pimenta Monteiro, 2004. "Using Propensity Matching Estimators To Evaluate The Impact Of Privatisation On Wages," Royal Economic Society Annual Conference 2004 61, Royal Economic Society.
  • Handle: RePEc:ecj:ac2004:61
    as

    Download full text from publisher

    File URL: http://repec.org/res2004/Monteiro.pdf
    File Function: full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Figueiredo, Adelaide & Figueiredo, Fernanda & Monteiro, Natália P. & Straume, Odd Rune, 2012. "Restructuring in privatised firms: A Statis approach," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 108-116.
    2. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    3. Orietta DESSY & Massimo FLORIO, 2004. "Workers' earnings in the UK before and after privatisation: a study of five industries," Departmental Working Papers 2004-13, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    4. Cecilia Navarra, 2013. "Economics of Development NGOs: a survey of existing datasets," Working Papers 1305, University of Namur, Department of Economics.
    5. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    6. Svejnar, Jan & Hagemejer, Jan & Tyrowicz, Joanna, 2018. "Are Rushed Privatizations Substandard? Analyzing Firm-level Privatization under Fiscal Pressure," CEPR Discussion Papers 12991, C.E.P.R. Discussion Papers.
    7. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    8. Margarita Carvalho & João Cerejeira, 2019. "Mergers and Acquisitions and wage effects in the Portuguese banking sector," NIPE Working Papers 07/2019, NIPE - Universidade do Minho.
    9. Richard Disney & Amanda Gosling, 2008. "Changing public sector wage differentials in the UK," IFS Working Papers W08/02, Institute for Fiscal Studies.
    10. Koirala, Bishwa S. & Bohara, Alok K. & Devkota, Satis & Upadhyaya, Kamal P., 2019. "Community managed hydropower, spillover effect and agricultural productivity: The case of rural Nepal," World Development Perspectives, Elsevier, vol. 13(C), pages 67-74.
    11. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    12. Adelaide Maria Figueiredo & Fernanda Otília Figueiredo & Natália Pimenta Monteiro, 2008. "Labor adjustments in privatized firms: a Statis approach," FEP Working Papers 306, Universidade do Porto, Faculdade de Economia do Porto.
    13. Sereynithia Hun & Shoichi Ito & Hiroshi Isoda & Yuichiro Amekawa, 2018. "Impacts of Agricultural Cooperatives on Farmers’ Revenues in Cambodia: A Case Study of Tram Kak District, Takeo Province," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 10(2), pages 1-82, January.

    More about this item

    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:ecj:ac2004:61. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.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.