Sectoral Differences in Labor Productivity Growth: Estimation and Modeling

Roberto Roson


This study provides some empirical evidence and quantification of differences in labor productivity among industries and countries. Using a recently available data base of value added per worker, country and time fixed effects are estimated first for various industries. Results are subsequently elaborated, to identify some time trends and sectoral profiles by country, which are in turn employed in a cluster analysis, summarizing some salient characteristics of industrial labor productivity in different economies. The empirical exercise is motivated by the possible employment of its findings in the construction of long-run economic growth scenarios, by means of Computable General Equilibrium (CGE) models. It is found that: (a) Manufacturing is normally the fastest growing sector and its performance is strongly correlated with the aggregate productivity growth; (b) differences in the rates of agricultural productivity gains are relatively minor; (c) slow-growing countries are characterized by slow-growing Services.

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Copyright (c) 2019 Roberto Roson

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Research in Applied Economics ISSN 1948-5433


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