Productivity dynamics and structural change in the US manufacturing sector

Jens Krüger ()

Industrial and Corporate Change, 2008, vol. 17, issue 4, 875-902

Abstract: 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. Copyright 2008 , Oxford University Press.

Date: 2008
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Working Paper: Productivity Dynamics and Structural Change in the U.S. Manufacturing Sector (2004)
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