Modeling technology and technological change in manufacturing: how do countries differ?

In this paper we ask how technological differences in manufacturing across countries can best be modeled when using a standard production function approach. We show that it is important to allow for differences in technology as measured by differences in parameters. Of similar importance are time-se...

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Main Authors: Eberhardt, M, Teal, F
Format: Working paper
Language:English
Published: CSAE (University of Oxford) 2008
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author Eberhardt, M
Teal, F
author_facet Eberhardt, M
Teal, F
author_sort Eberhardt, M
collection OXFORD
description In this paper we ask how technological differences in manufacturing across countries can best be modeled when using a standard production function approach. We show that it is important to allow for differences in technology as measured by differences in parameters. Of similar importance are time-series properties of the data and the role of dynamic processes, which can be thought of as aspects of technological change. Regarding the latter we identify both an element that is common across all countries and a part which is country-specific. The estimator we develop, which we term the Augmented Mean Group estimator (AMG), is closely related to the Mean Group version of the Pesaran (2006) Common Correlated Effects estimator. Once we allow for parameter heterogeneity and the underlying time-series properties of the data we are able to show that the parameter estimates from the production function are consistent with information on factor shares.
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spelling oxford-uuid:e99b475c-0670-4566-ad03-720896d457c52022-03-27T10:55:29ZModeling technology and technological change in manufacturing: how do countries differ?Working paperhttp://purl.org/coar/resource_type/c_8042uuid:e99b475c-0670-4566-ad03-720896d457c5EnglishDepartment of Economics - ePrintsCSAE (University of Oxford)2008Eberhardt, MTeal, FIn this paper we ask how technological differences in manufacturing across countries can best be modeled when using a standard production function approach. We show that it is important to allow for differences in technology as measured by differences in parameters. Of similar importance are time-series properties of the data and the role of dynamic processes, which can be thought of as aspects of technological change. Regarding the latter we identify both an element that is common across all countries and a part which is country-specific. The estimator we develop, which we term the Augmented Mean Group estimator (AMG), is closely related to the Mean Group version of the Pesaran (2006) Common Correlated Effects estimator. Once we allow for parameter heterogeneity and the underlying time-series properties of the data we are able to show that the parameter estimates from the production function are consistent with information on factor shares.
spellingShingle Eberhardt, M
Teal, F
Modeling technology and technological change in manufacturing: how do countries differ?
title Modeling technology and technological change in manufacturing: how do countries differ?
title_full Modeling technology and technological change in manufacturing: how do countries differ?
title_fullStr Modeling technology and technological change in manufacturing: how do countries differ?
title_full_unstemmed Modeling technology and technological change in manufacturing: how do countries differ?
title_short Modeling technology and technological change in manufacturing: how do countries differ?
title_sort modeling technology and technological change in manufacturing how do countries differ
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AT tealf modelingtechnologyandtechnologicalchangeinmanufacturinghowdocountriesdiffer