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

논문 기본 정보

자료유형
학술저널
저자정보
김동석 (KDI국제정책대학원)
저널정보
한양대학교 경제연구소 Journal of Economic Research (JER) Journal of Economic Research (JER) 제26권 제1호
발행연도
2021.1
수록면
1 - 26 (26page)

이용수

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

초록· 키워드

오류제보하기
The goal and contribution of this paper is to estimate the sectoral labor income shares in Korea with the same methods over a long period. For this purpose, I harmonized the input-output (IO) tables of Korea for the period 1975-2018 according to a common 26-sector classification, and applied various methods for computing labor income shares to the variables available in IO tables and the accompanying employment tables. It is expected that the results of this paper can be utilized in a variety of studies. In this paper, three methods were applied. First method is to use compensation of employees (CE), the narrowest definition of labor income, as the labor income. Second method is to assume that the average labor income of non-wage workers equals the average wage level of employees. Third method is to estimate the average labor income of non-wage workers using micro survey data. All three methods use domestic income (DI), the sum of CE and operating surplus (OS), as the total factor income. In this paper, I used the estimates by Im (2020) for the third method. The economy-wide labor income share by the first method is highly close to the official income share published by the Bank of Korea, and is believed to underestimate the true labor income share. On the other hand, the share by the third method is expected to highly overestimate the true value. The accuracy and the reliability of the estimated shares can be greatly improved by estimating the relative average labor income share of non-wage workers more thoroughly based on more accurate survey data.

목차

등록된 정보가 없습니다.

참고문헌 (17)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0