Modeling technology and technological change in manufacturing: how do countries differ?
Markus Eberhardt and
Francis Teal
MPRA Paper from University Library of Munich, Germany
Abstract:
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.
Keywords: Manufacturing Production; Parameter Heterogeneity; Nonstationary Panel Econometrics; Cross-section Dependence (search for similar items in EconPapers)
JEL-codes: C33 O14 O47 (search for similar items in EconPapers)
Date: 2008-04
New Economics Papers: this item is included in nep-ecm, nep-eff, nep-knm and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
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https://mpra.ub.uni-muenchen.de/10690/1/MPRA_paper_10690.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/15867/2/MPRA_paper_15867.pdf revised version (application/pdf)
Related works:
Working Paper: Productivity Analysis in Global Manufacturing Production (2010) 
Working Paper: Modeling Technology and Technological Change in Manufacturing: How do Countries Differ? (2008) 
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:10690
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