Determinants of the Italian labor productivity: a quantile regression approach
Margherita Velucchi () and
Alessandro Viviani ()
Additional contact information
Alessandro Viviani: Dipartimento di Statistica "G. Parenti", Università di Firenze
Statistica, 2011, vol. 71, issue 2, 213-238
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.
References: Add references at CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:71:y:2011:i:2:p:213-238
Access Statistics for this article
Statistica is currently edited by Department of Statistics, University of Bologna
More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().