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

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  • 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.
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  • 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
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    2. 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.
    3. 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.
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    5. 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.
    6. 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.
    7. 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.
    8. Cecilia Navarra, 2013. "Economics of Development NGOs: a survey of existing datasets," Working Papers 1305, University of Namur, Department of Economics.
    9. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    10. 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.
    11. 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.
    12. 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.
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