Abstract
The main purpose of this study is to develop, in the framework of the factor proportions theory, empirical models, to be further used to explain the trade patterns for particular countries. One may either formulate tests based directly or indirectly on the HOV equation and its generalizations derived in Sections 2 and 3 (e.g. simple correlations and ranking propositions) or try to get theory-based regression equations. Whilst, to apply the first approach, we only have to assume that HOV holds, to use a regression approach one has also to rely on an approximation. Remember that the HOV equation for a particular country j is:
(see equation (2.18)). For a particular factor h, equation (2.18) becomes:
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References
The assumption of increasing returns and product differentiation changes the left-hand term of the HOV equation, while the assumption of internationally mobile capital alters the right-hand term.
However, as Maskus (1985) shows, this result does not hold for 1958 and 1972.
The factor content of trade, divided by the world factor endowment and adjusted for the country size is taken as an indirect measure of the relative factor abundance.
Net exports are regressed on factor intensities in a cross-industry framework.
As for the variance of the error term, in a cross-commodity regression, one should consider the problem of heteroskedasticity and hence, use GLS estimators.
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© 1999 Physica-Verlag Heidelberg
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Keuschnigg, M. (1999). Theory-Based Empirical Implementation. In: Comparative Advantage in International Trade. Studies in Empirical Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-50212-5_5
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DOI: https://doi.org/10.1007/978-3-642-50212-5_5
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-642-50214-9
Online ISBN: 978-3-642-50212-5
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