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Productivity Dynamics and Structural Change in the U.S. Manufacturing Sector

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Author Info
Jens J. Krüger () (University of Jena, Faculty of Economics)

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Abstract

The paper investigates structural change among the four-digit (SIC) industries of the U.S. manufacturing sector during 1958-96 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 derived from a search theoretic model. The nonparametric and the maximum likelihood fits show striking similarities. The relation of structural change to a relative measure of total factor productivity change is tested by an application of quantile regression and is found to be significantly positive throughout.

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Publisher Info
Paper provided by Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät in its series Jenaer Schriften zur Wirtschaftswissenschaft with number 30/2004.

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Date of creation: Dec 2004
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Handle: RePEc:jen:jenasw:2004-30

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Related research
Keywords: structural change; productivity; manufacturing; quantile regression;

Find related papers by JEL classification:
L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General
L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data

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References listed on IDEAS
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