메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국무역학회 무역학회지 貿易學會誌 第28卷 第2號
발행연도
2003.4
수록면
123 - 136 (14page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Since 1986, the weekly magazine, The Economist, have published Bigmac Index every April as a light-hearted guide to whether currencies are at their "correct" level or not. The Bigmac Index is theoretically based on purchasing power parity hypothesis. Under PPP hypothesis, nominal exchange rates should move to equalize the price of a identical basket of goods and services across all countries. The Economist have regarded Bigmac hamburger as a identical basket of goods and services. The Economist asserts that even though Bigmac Index is not a perfect evidence of PPP, its usefulness to forecast exchange rates movement outperforms any other highly paid forecastors. To test if The Economist's opinion is correct or not, we use panel data analysis with 10-countries by 13-years dimension data set. In this study we consider three methods of panel data regression analysis : common effect model, fixed effect model and random effect model. Standard errors are estimated by White's heteroskedasiticity consistent covariance matrix as well as by usual way. By a couple of test statistics, random effect model and common effect model seem to be more reliable than fixed effect model. The under/overvaluation rates are able to explain exchange rates appreciation/depreciation. As a result, the hypothesis that Bigmac Index is useful to forecast nominal exchange rate changes can be accepted, e.g, if nominal exchange rates are undervalued compared to Bigmac Index, nominal exchange rates will be appreciated next period.

목차

Ⅰ. 서론
Ⅱ. 자료와 모형설정 빛 가설
Ⅲ. 추정 및 검정
Ⅳ. 요약 및 결론
참고문헌
ABSTRACT

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2010-326-002880713