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Performance related pay, productivity and wages in Italy: a quantile regression approach

Author

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  • Mirella Damiani
  • Fabrizio Pompei
  • Andrea Ricci

Abstract

Purpose - – The purpose of this paper is to analyse the role of performance-related pay (PRP) on productivity and wages of Italian firms. Design/methodology/approach - – A unique data set for the Italian economy, obtained from the ISFOL Employer and Employee Surveys (2005, 2007, 2010), is used to estimate the relationship between PRP, labour productivity and wages, also controlling for an ample set of covariates. The authors performed standard quantile regressions (QRs) to investigate heterogeneity in associations of PRP with labour productivity and wages. In a second stage, the endogeneity of PRP was taken into account by using instrumental variable QR techniques. Findings - – The econometric estimates suggests that PRP are incentive schemes that substantially lead to efficiency enhancements and wage gains. These findings are confirmed for firms under union governance and suggest that well-designed policies, that circumvent the limited implementation of PRP practices, would guarantee productivity improvement and wage premiums for employees. Research limitations/implications - – The main limitation of the findings concerns PRP data, that do not offer statistical information on different types of schemes, at group or individual level. Originality/value - – This paper is the first to investigate, on a national scale for the Italian economy, the role of PRP on both productivity and wages, in order to shed light on the efficiency and distributive implications, whereas most of the studies of related literature are restricted to one of those aspects.

Suggested Citation

  • Mirella Damiani & Fabrizio Pompei & Andrea Ricci, 2016. "Performance related pay, productivity and wages in Italy: a quantile regression approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(2), pages 344-371, May.
  • Handle: RePEc:eme:ijmpps:v:37:y:2016:i:2:p:344-371
    DOI: 10.1108/IJM-12-2014-0265
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    Citations

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    Cited by:

    1. Riccardo Leoni, 2018. "Efficienza ed efficacia della contrattazione integrativa aziendale. Una rassegna della letteratura empirica italiana," Economia & lavoro, Carocci editore, issue 1, pages 131-170.
    2. Akwasi Ampofo & Firmin Doko Tchatoka, 2019. "Reducing Public‐Private Sector Pay Differentials: The Single Spine Pay Policy As A Natural Experiment In Ghana," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 283-315, January.
    3. Kampelmann, Stephan & Mahy, Benoît & Rycx, François & Vermeylen, Guillaume, 2016. "Who Is Your Perfect Match? Educational Norms, Educational Mismatch and Firm Profitability," IZA Discussion Papers 10399, Institute of Labor Economics (IZA).
    4. Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2017. "Technical efficiency, unions and decentralized labor contracts," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1129-1141.
    5. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects

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