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  • Search: subject:"steepest ascent tariff reforms"
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Year of publication
Subject
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market access 3 piecemeal tariff policy 3 small open economy 3 steepest ascent tariff reforms 3 welfare 3 consumption tax reform 1 tariff reform 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 1
Language
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English 2 Undetermined 1
Author
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Raimondos-Møller, Pascalis 3 Woodland, Alan D. 2 Woodland, Alan D 1
Institution
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C.E.P.R. Discussion Papers 1 CESifo 1
Published in...
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CEPR Discussion Papers 1 CESifo Working Paper Series 1 Working paper 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
Steepest Ascent Tariff Reforms
Woodland, Alan D.; Raimondos-Møller, Pascalis - 2006
This paper introduces the concept of a steepest ascent tariff reform for a small open economy. By construction, it is locally optimal in that it yields the highest gain in utility of any feasible tariff reform vector of the same length. Accordingly, it provides a convenient benchmark for the...
Persistent link: https://www.econbiz.de/10012142322
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Cover Image
Steepest Ascent Tariff Reforms
Raimondos-Møller, Pascalis; Woodland, Alan D. - CESifo - 2006
This paper introduces the concept of a steepest ascent tariff reform for a small open economy. By construction, it is locally optimal in that it yields the highest gain in utility of any feasible tariff reform vector of the same length. Accordingly, it provides a convenient benchmark for the...
Persistent link: https://www.econbiz.de/10005181335
Saved in:
Cover Image
Steepest Ascent Tariff Reforms
Raimondos-Møller, Pascalis; Woodland, Alan D - C.E.P.R. Discussion Papers - 2006
This paper introduces the concept of a steepest ascent tariff reform for a small open economy. By construction, it is locally optimal in that it yields the highest gain in utility of any feasible tariff reform vector of the same length. Accordingly, it provides a convenient benchmark for the...
Persistent link: https://www.econbiz.de/10005662058
Saved in:
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