자기회귀 조건부 이분산 회귀모형을 이용한 한국인의 해외관광수요 분석

• 영문명: An Analysis of Korean Out-Bound Tourism Demand Using the Autoregressive Conditional Heteroskedasticity Regression Model
• 발행기관: 한국관광학회
• 저자명: 金相赫
• 간행물 정보: 『관광학연구』제34권 제9호, 359~377쪽, 전체 19쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2010.12.31

영문 초록

Using Engle(1982)’s autoregressive conditional heteroskedasticity(ARCH) regression model, this paper analyzed out-bound tourism demand of Korean tourists for seven countries(USA, Japan, China, Hongkong, Singapore, Philippine, and Thailand). Even though there have been numerous studies that analyzed in-and out-bound of Korean tourism demand, most studies did not consider the classical assumptions in the regression model. Among all the assumptions, this study focused on effects of the violation of homoskedasticity of the innovation. In this study, first, by simple Monte-Carlo simulation, the effect of conditional heteroskedasticity in the regression model was demonstrated. Then, using ARCH regression model, Korean outbound tourism demand for seven countries were estimated. Results showed that most countries’ price and income elasticities were less than one. Results also indicated that the price and income elasticities were quite country specific.

목차

Ⅰ. 서론

Ⅱ. 시계열 회귀모형의 문제점과 ARCH-회귀모형 설정

Ⅲ. 시뮬레이션

Ⅳ. 실증분석

Ⅴ. 결론

참고문헌

키워드

관광수요 조건부 이분산 ARCH 회귀모형 Tourism demand Conditional heteroskedasticity ARCH regression model