Characterizing the Production Process: A Disaggregated Analysis of Italian Manufacturing Firms
Giulio Bottazzi,
Marco Grazzi and
Angelo Secchi
LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy
Abstract:
This paper provides a description of the production process by comparing different frameworks in which to analyze the relations between inputs and output. The analysis is performed on a representative sample of Italian manufacturing firms. We employ both parametric and non-parametric analysis. The last allows to detect presence of heterogeneity in the way the production is carried out within each sector. We review some traditional issues in the econometrics of production function estimation and explain how some of them can be solved exploiting the cross-sectional time-series nature of data. Results of the econometric analysis show that coefficients estimates tend to be robust with respect to different models employed. Analysis of levels of labor productivity confirms presence of significant intra-sector heterogeneity which persists over time.
Keywords: Input and output relation; Panel data; Returns to scale . (search for similar items in EconPapers)
Date: 2004-12-15
New Economics Papers: this item is included in nep-eec, nep-ino and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.lem.sssup.it/WPLem/files/2004-24.pdf (application/pdf)
Related works:
Journal Article: Characterizing the Production Process: A Disaggregated Analysis of Italian Manufacturing Firms (2005) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ssa:lemwps:2004/24
Access Statistics for this paper
More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).