• Title/Summary/Keyword: 카운트 자료 모형

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A Comparative Study on Estimation Models for the Value of Access to a Natural Recreation Site: Focusing on the Estuary Area of Yeongsan River (자연휴양지 방문편익 추정모형의 비교 연구 - 영산강 하구를 대상으로)

  • Shin, Youngchul
    • Environmental and Resource Economics Review
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    • v.21 no.4
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    • pp.981-998
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    • 2012
  • In this paper, several count data model of travel cost recreation demand with Poisson and negative binominal specification are applied to estimate the value of access to the estuary area of Yeongsan river from visitor survey data. The results show that the negative binomial model that accounts for truncation and overdispersion provides the better goodness-of-fit, and therefore the value per visit(i.e. consumer surplus) is 89,350 won for resident of Jeolla province and 432,526 won for that of other provinces. If don't correct overdispersion by relying on Poisson estimates, the consumer surplus will be underestimated. Whereas the consumer surplus will be overestimated unless correct truncation by using estimates of untruncated models. As a result, the truncated negative binomial model should be applied to estimate the travel demand and the consumer surplus per visit by using survey data from single site visitors.

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Volatility, Risk Premium and Korea Discount (변동성, 위험프리미엄과 코리아 디스카운트)

  • Chang, Kook-Hyun
    • The Korean Journal of Financial Management
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    • v.22 no.2
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    • pp.165-187
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    • 2005
  • This paper tries to investigate the relationships among stock return volatility, time-varying risk premium and Korea Discount. Using Korean Composite Stock Price Index (KOSPI) return from January 4, 1980 to August 31, 2005, this study finds possible links between time-varying risk premium and Korea Discount. First of all, this study classifies Korean stock returns during the sample period by three regime-switching volatility period that is to say, low-volatile period medium-volatile period and highly-volatile period by estimating Markov-Switching ARCH model. During the highly volatile period of Korean stock return (09/01/1997-05/31/2001), the estimated time-varying unit risk premium from the jump-diffusion GARCH model was 0.3625, where as during the low volatile period (01/04/1980-l1/30/1985), the time-varying unit risk premium was estimated 0.0284 from the jump diffusion GARCH model, which was about thirteen times less than that. This study seems to find the evidence that highly volatile Korean stock market may induce large time-varying risk premium from the investors and this may lead to Korea discount.

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