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ICC Advance Access originally published online on July 10, 2008
Industrial and Corporate Change 2008 17(4):875-902; doi:10.1093/icc/dtn021
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© The Author 2008. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved.

This article appears in the following Industrial and Corporate Change issue: Special Issue: Schumpeterian Themes on Industrial Evolution, Structural Change and their Microfoundations [View the issue table of contents]

Productivity dynamics and structural change in the US manufacturing sector

Jens J. Krüger

Jens J. Krüger, Friedrich-Schiller-University Jena, Department of Economics, Carl-Zeiss-Strasse 3, D-07743 Jena, Germany.

Correspondence: e-mail: jens.krueger{at}wiwi.uni-jena.de

The article investigates structural change among the four-digit (SIC) industries of the US manufacturing sector during 1958–1996 and its relation to productivity growth within a distribution dynamics framework. Focus is on the transition density of the Markov process that characterizes the value-added shares of the industries. This transition density is estimated nonparametrically as well as by maximum likelihood, in which case the functional form of the density is motivated by a search theoretic model. The nonparametric fit and the maximum likelihood fit show striking similarities. The relation of structural change to a measure of total factor productivity change is tested by quantile regression and appears to be significantly positive throughout.


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