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무응답 자료 처치모형을 이용한 서울시 수돗물 수질개선편익 추정

Using a Model of Correcting Missing Response Observations to Measure the Economic Benefits of the Tap Water Quality Improvement in Seoul

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초록

조건부 가치측정법의 적용을 위한 지불의사액 설문조사에서 무응답은 흔히 관측된다. 이때 무응답 자료를 무시하고 관측치만 가지고 분석을 하게 되면 잘못된 후생분석 결과에 이를 수 있으므로, 무응답 자료를 처치할 수 있는 모형의 적용이 요구된다. 이에 본 연구에서는 선행연구에서 주로 사용하였던 복잡한 이변량 모형 대신에 단변량 모형의 구도에서 무응답 자료를 쉽게 처치할 수 있는 모형을 개발하여 적용하고자 한다. 개발된 모형을 서울시 수돗물 수질개선편익 추정에 적용하였다. 분석결과 무응답 편의는 발견되지 않았으며, 통상적 모형에서의 후생 추정치에 비해 본 연구에서 개발한 무응답 자료 처치 모형에서의 후생 추정치는 가구당 월 146원~181원 만큼 더 작았다. 비록 이 차이가 큰 것은 아니지만, 서울시 전체로 확장하면 연간 65.1억원~80.7억원에 해당한다. 무응답 자료 처치 모형을 적용할 때, 서울시 수돗물 수질개선편익은 월 평균 가구당 3,808원~4,434원으로 추정되었다.

Abstract

willingness-to-pay (WTP) survey data for implementation of the contingent valuation method often have a significant number of missing responses. In this case, an analysis of the observed data after deleting the missing data leads to incorrect welfare analysis results. This study attempts to develop a new model to correct for the missing response observations in a simpler univariate setting rather than in a complicated bivariate setting adopted in previous studies. The new model is applied to the empirical analysis of the survey data for measurement of tap water quality improvement benefits in Seoul. Non-response bias was not detected. However, no correction for the missing observations overestimated household monthly WTP by 146 to 181 won, which amount to 6.51 to 8.07 billion won when expanded to Seoul residents. The household monthly WTP estimated from the new model ranges from 3,808 to 4,434 won.

참고문헌 (29)

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