2003•Unpublished venueRequires access

On the Dynamics of the U.S. Manufacturing Productivity Distribution

Jens J. Krüger, Friedrich-Schiller-University Jena

Open publisher page 3 citations

Abstract

In this paper a formal model of the productivity dynamics of manufacturing industries is developed with key features being the absence of optimal decisions and equilibrium coordination, heterogeneity of industries with respect to their innovative ability and cumulativeness of innovations together with the working of spillover effects. From that model the law of motion of the productivity distribution across the industries is derived and nonparametrically estimated using data for 140 three-digit U.S. manufacturing industries over the period 195896. The conclusion of a substantial role of persistence in the productivity development is further sharpened by the application of unit root and stationarity tests for panel data.

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What this paper is about

In this paper a formal model of the productivity dynamics of manufacturing industries is developed with key features being the absence of optimal decisions and equilibrium coordination, heterogeneity of industries with respect to their innovative ability and cumulativeness of innovations together with the working of spillover effects. From that model the law of motion of the productivity distribution across the industries is derived and nonparametrically estimated using data for 140 three-digit U.S. manufacturing industries over the period 195896. The conclusion of a substantial role of persistence in the productivity development is further sharpened by the application of unit root and stationarity tests for panel data.

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Available abstract

In this paper a formal model of the productivity dynamics of manufacturing industries is developed with key features being the absence of optimal decisions and equilibrium coordination, heterogeneity of industries with respect to their innovative ability and cumulativeness of innovations together with the working of spillover effects. From that model the law of motion of the productivity distribution across the industries is derived and nonparametrically estimated using data for 140 three-digit U.S. manufacturing industries over the period 195896. The conclusion of a substantial role of persistence in the productivity development is further sharpened by the application of unit root and stationarity tests for panel data.

Key concepts: Productivity, Spillover effect, Distribution (mathematics), Unit root, Manufacturing, Industrial organization, Econometrics, Panel data

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