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|c 5.00 USD
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|z 9781484311493
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|a 1018-5941
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|a BD-DhAAL
|c BD-DhAAL
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|a Aslam, Aqib.
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|a Calculating Trade in Value Added /
|c Aqib Aslam, Natalija Novta, Fabiano Rodrigues-Bastos.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2017.
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| 300 |
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|a 1 online resource (25 pages)
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|a IMF Working Papers
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|a <strong>Off-Campus Access:</strong> No User ID or Password Required
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|a <strong>On-Campus Access:</strong> No User ID or Password Required
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|a Electronic access restricted to authorized BRAC University faculty, staff and students
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|a This paper sets out the key concepts necessary to calculate trade in value added using input-output tables. We explain the basic structure of an input-output table and the matrix algebra behind the computation of trade in value added statistics. Specifically, we compute measures of domestic value-added, foreign value added, and forward and backward linkages, as well as measures of both a country's participation and position in global value chains. We work in detail with an example of a global input-output table for 3 countries each with 4 sectors, provided by the Eora Multi-Region Input-Output (MRIO) database. The aim is to provide an introduction to the analysis of global value chains for use in policy work. An accompanying suite of Matlab codes are provided that can be used with the full set of Eora MRIO tables.
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|a Mode of access: Internet
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|a Input-Output
|2 imf
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|a Inverse Matrix
|2 imf
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| 650 |
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|a Matrix Algebra
|2 imf
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| 650 |
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|a Trade Integration
|2 imf
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| 650 |
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|a WP
|2 imf
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| 651 |
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|a China, People's Republic of
|2 imf
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|a Novta, Natalija.
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|a Rodrigues-Bastos, Fabiano.
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|a IMF Working Papers; Working Paper ;
|v No. 2017/178
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|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2017/178/001.2017.issue-178-en.xml
|z IMF e-Library
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