Italian Manufacturing and Service Firms Labor Productivity: a Longitudinal Quantile Regression Analysis
Margherita Velucchi (),
Alessandro Viviani () and
Alessandro Zeli ()
Additional contact information
Alessandro Viviani: Università degli Studi di Firenze - Italy
Alessandro Zeli: ISTAT, Istituto Nazionale di Statistica , Roma - Italy
Statistica, 2014, vol. 74, issue 3, 267-293
Labor productivity is very complex to analyze across time, sectors and countries. In particular, in Italy, labor productivity has shown a prolonged slowdown but sector analyses highlight the presence of specific niches that have good levels of productivity and performance. This paper investigates how firms' characteristics might have affected the dynamics of the Italian service and manufacturing firms labor productivity in recent years (1998-2007), comparing them and focusing on some relevant sectors. We use a micro level original panel from the Italian National Institute of Statistics (ISTAT) and a longitudinal quantile regression approach that allow us to show that labor productivity is highly heterogeneous across sectors and that the links between labor productivity and firms' characteristics are not constant across quantiles. We show that average estimates obtained via GLS do not capture the complex dynamics and heterogeneity of the service and manufacturing firms' labor productivity. Using this approach, we show that innovativeness and human capital, in particular, have a very strong impact on fostering labor productivity of lower productive firms. From the sector analysis on four service' sectors (restaurants & hotels, trade distributors, trade shops and legal & accountants) we show that heterogeneity is more intense at a sector level and we derive some common features that may be useful in terms of policy implications.
Keywords: intangible capital; internationalization; labor productivity; longitudinal quantile regression (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
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:74:y:2014:i:3:p:267-293
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 ().