This paper describes historical and decomposition simulations undertaken for 1992-98 with a 500-sector computable general equilibrium model of the US. The historical simulation provides estimates Of movements in unobservable technology and preference variables. The decomposition simulation explains developments in the US economy in terms of movements in these variables and in observable exogenous variables such as tariffs. Both simulations produce many results. Here we use decomposition results to show that rapid growth in US international trade is explained mainly by technology changes that reduced costs in export-orientated industries and increased inputs of commodities that are heavily imported.
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The Business School, University of Hull, Cottingham Road, HullThe Business School, University of Hull, Cottingham Road, Hull
Bhattarai K.
Haughton J.
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Department of Economics and Beacon Hill Institute at Suffolk University, 8 Ashburton Place, Boston, 02108, MAThe Business School, University of Hull, Cottingham Road, Hull
Haughton J.
Tuerck D.G.
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Department of Economics and Beacon Hill Institute at Suffolk University, 8 Ashburton Place, Boston, 02108, MAThe Business School, University of Hull, Cottingham Road, Hull
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North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
Guo, Zhengquan
Zhang, Xingping
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North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
Zhang, Xingping
Zheng, Yuhua
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China Univ Min & Technol Beijing, Sch Management, Beijing, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
Zheng, Yuhua
Rao, Rao
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North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
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Institute for Rural Futures, IRF, University of New England, UNE, Armidale, NSWInstitute for Rural Futures, IRF, University of New England, UNE, Armidale, NSW