CAPTIVE SUPPLY IMPACT ON THE U.S. FED CATTLE PRICE: AN APPLICATION OF NONPARAMETRIC ANALYSIS
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영문 제목
- CAPTIVE SUPPLY IMPACT ON THE U.S. FED CATTLE PRICE: AN APPLICATION OF NONPARAMETRIC ANALYSIS
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저자
- Andrew C. Lee
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출판년도
- 2011-10-21
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초록
- Conventional regression technique is restrictive because it assumes a specific functional form for the model and the constancy of parameters. Nonparametric method, however, is flexible and supplementary to parametric analysis. In this study, impact of captive supply on the U.S. fed cattle cash market price is investigated via nonparametric analysis. Results indicate that the price effect of captive supply does not appear until its share reaches about 20% of the total cattle procurement. Beyond this point, the U.S. fed cattle price decreases approximately $0.20/cwt ~ $0.40/cwt for each percent increase in the captive supply share.
Conventional regression technique is restrictive because it assumes a specific functional form for the model and the constancy of parameters. Nonparametric method, however, is flexible and supplementary to parametric analysis. In this study, impact of captive supply on the U.S. fed cattle cash market price is investigated via nonparametric analysis. Results indicate that the price effect of captive supply does not appear until its share reaches about 20% of the total cattle procurement. Beyond this point, the U.S. fed cattle price decreases approximately $0.20/cwt ~ $0.40/cwt for each percent increase in the captive supply share.
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목차
- I. Introduction
II. Conceptual Model
III. Nonparametric Regression
IV. Data and Estimation
V. Results and Discussion
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서지인용
- page. 103 - 115
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발행처
- 한국농촌경제연구원
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주제어
- captive supply; Kernel regression; JEL Classifications: C19; Q13; captive supply; Kernel regression; JEL Classifications: C19; Q13
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발간물 유형
- KREI 논문
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URI
- http://repository.krei.re.kr/handle/2018.oak/19719
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Appears in Collections:
- 학술지 논문 > 농촌경제 / JRD
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