Membership of EMU: A Fuzzy Clustering Analysis of Alternative Criteria

• 영문명: Membership of EMU: A Fuzzy Clustering Analysis of Alternative Criteria
• 발행기관: 세종대학교 경제통합연구소
• 저자명: M.J. Artis W. Zhang
• 간행물 정보: 『Journal of Economic Integration』제17권 제1호, 54~79쪽, 전체 26쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2002.03.31

영문 초록

The paper applies fuzzy clustering techniques to the member countries of the European Union in order to arrive at an identification of preferred monetary union groupings. The statistical criteria employed are those suggested, alternatively, by the traditional Optimal Currency Area theory or the Treaty of Maastricht. Both criteria sets identify well-identified sub-groups, where a distinction can be made between a “core group” and one or more peripheral goups. Despite some differences, the similarity between the groups distinguished by the alternative sets of criteria is quite striking. On the whole this is good news for the sustainability of the current “Euro-zone”.

목차

Ⅰ. Introduction

Ⅱ. Fuzzy Clustering Analysis

Ⅲ. The OCA Criteria

Ⅳ. The Maastricht Treaty Criteria

Ⅴ. OCA and Maastricht Treaty Criteria Compared

Ⅵ. Conclusions

키워드

Optimal Currency Area Maastricht Treaty Criteria EMU Fuzzy Clustering