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Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?

  • Francis Teal
  • Markus Eberhardt

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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Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number WPS/2008-12.

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Date of creation: 01 Apr 2008
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Handle: RePEc:oxf:wpaper:wps/2008-12
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