Estimating Price Responses of German Imports and Exports
This paper estimates trade-demand functions for Germany from monthly data covering the period 1959-1988. It is assumed that these trade-demand functions have the form of the Linear Expenditure System, generated by a shifted Cobb-Douglas trade-utility function in which the shift parameter is postulated to be a function of time (including trend and seasonal components) and to have a stochastic term with a lognormal distribution. A procedure called generalized maximum likelihood is used, and the results are compared with those of nonlinear least squares as a benchmark. The approach is applied to two models: (1) a six-commodity model in which the dependent variables are net imports in six categories and the independent variables are six weighted averages of the import- and export-price indices for these categories as well as the trade deficit; (2) a twelve-commodity model in which the dependent variables are the gross imports and gross exports (the latter measured negatively) in the six categories and the independent variables are the twelve import- and export-price indices and the trade deficit. The latter model thus handles the case of “intra-industry trade”.
|Date of creation:||1992|
|Date of revision:|
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- Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-28, August.
- Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-12, August.
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