The Measurement of Labour Content: A General Approach

Naoki Yoshihara () and Roberto Veneziani

No 587, Discussion Paper Series from Institute of Economic Research, Hitotsubashi University

Abstract: This paper analyses the theoretical issues related to the measurement of labour content in the context of general technologies with heterogeneous labour. A novel axiomatic framework is used in order to formulate the key properties of the notion of labour content and analyse its theoretical foundations. Then, a simple measure of labour content is uniquely characterised, which is consistent with common practice in input-output analysis and with a number of recent approaches in value theory.

Keywords: labour content; labour productivity; technical change; axiomatic analysis (search for similar items in EconPapers)
JEL-codes: D46 D57 J24 O33 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2013-05
New Economics Papers: this item is included in nep-hme
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/25674/DP587.pdf

Related works:
Working Paper: The Measurement of Labour Content: A General Approach (2018)
Working Paper: The measurement of labour content: a general approach (2018)
Working Paper: The measurement of labour content: a general approach (2017)
Working Paper: The measurement of labour content: a general approach (2017)
Working Paper: The measurement of labour content: a general approach (2013)
Working Paper: The Measurement of Labour Content: A General Approach (2013)
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:hit:hituec:587

Access Statistics for this paper

More papers in Discussion Paper Series from Institute of Economic Research, Hitotsubashi University Contact information at EDIRC.
Bibliographic data for series maintained by Hiromichi Miyake ().