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Determinants of the Italian labor productivity: a quantile regression approach

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Listed:
  • Margherita Velucchi

    (Department of Economics, New York University Dipartimento di Statistica "G. Parenti", Università di Firenze)

  • Alessandro Viviani

    (Dipartimento di Statistica "G. Parenti", Università di Firenze)

Abstract

This paper investigates how some firms’ characteristics affect the dynamics of the Italian firms’ labor productivity in recent years (1998-2004) using an original panel from the Italian National Institute of Statistics at a micro level (firm level). The original database and a quantile regression approach allow us to highlight that labor productivity is very heterogeneous and that the relationship between labor productivity and firms characteristics is not constant across quantiles. We show that estimates obtained via GLS do not capture the complex dynamics and heterogeneity of the Italian firms labor productivity. Innovativeness and human capital, in particular, have a larger impact on fostering labor productivity of low productive firms than that of high productive firms. Finally, we focus on three highly internationalized sectors and show that innovativeness, human capital and internationalization have a role on fostering labor productivity, with large discrepancy both across industries and quantiles.

Suggested Citation

  • Margherita Velucchi & Alessandro Viviani, 2011. "Determinants of the Italian labor productivity: a quantile regression approach," Statistica, Department of Statistics, University of Bologna, vol. 71(2), pages 213-238.
    • Handle: RePEc:bot:rivsta:v:71:y:2011:i:2:p:213-238
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    Cited by:

    1. Francesco Bogliacino & Matteo Lucchese & Leopoldo Nascia & Mario Pianta, 2015. "The virtuous circle of innovation in Italian firms," Working Papers 1504, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2015.
    2. Romana Gargano & Ferdinando Ofria, 2021. "The influence of BES territorial indicators on economic performance of manufacturing firms," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 75(4), pages 42-52, October-D.
    3. Tariq Mahmood, 2015. "Mediating Effect of Advertising Expenditure on Labour Productivity - A Case of Manufacturing Industries in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(1), pages 1-15.
    4. Selamawit G. Kebede & Almas Heshmati, 2020. "Energy Use and Labor Productivity in Ethiopia: The Case of the Manufacturing Industry," Energies, MDPI, vol. 13(11), pages 1-21, May.

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