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Title:Distribution of Labour Productivity in Japan over the Period 1996–-2006 PDF Logo
Authors:Fujiwara, Yoshi
Iyetomi, Hiroshi
Ikeda, Yuichi
Souma, Wataru
Issue Date:2009
Citation:[Journal:] Economics: The Open-Access, Open-Assessment E-Journal [Volume:] 3 [Issue:] 2009-14 [Pages:] 1-14 [DOI/URN:] doi:10.5018/economics-ejournal.ja.2009-14
Series/Report no.:economics - The Open-Access, Open-Assessment E-Journal 2009-14
Abstract:The distribution of labour productivity is investigated by analyzing the longitudinal micro-level data set which contains the detailed financial conditions of large numbers of Japanese companies over the period 1996–-2006. The authors show that the distribution of labour productivity in both the high and low productivity ranges follows a power law distribution. The generalized beta function of the second kind, which asymptotically reproduces a power law function, is applied to explain the distribution of labour productivity. By comparing the power law exponents that characterize high and low productivity ranges, the authors show that for manufacturing industries, inequality in the low productivity range is larger than that in the high productivity range. For the manufacturing industries, the authors also clarify that the change of inequality in the low productivity range has strong correlation with GDP. In addition, by comparing the power law exponents of the high productivity range in the manufacturing and non-manufacturing industries, the authors show that the inequality of the non-manufacturing industry is higher than that of the manufacturing industry.
Subjects:Labour productivity
marginal productivity
power law distribution
inequality
JEL:C16
E23
L60
Persistent Identifier of the first edition:doi:10.5018/economics-ejournal.ja.2009-14
URL of the first edition:http://www.economics-ejournal.org/economics/journalarticles/2009-14
Creative Commons License:http://creativecommons.org/licenses/by-nc/2.0/de/deed.en
Document Type:Article
Appears in Collections:Economics: The Open-Access, Open-Assessment E-Journal - Journal Articles

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