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https://nccur.lib.nccu.edu.tw/handle/140.119/33904
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| Title: | 雙界二分選擇模式之統計效率分析 |
| Authors: | 許家銘 |
| Contributors: | 江振東教授
許家銘 |
| Keywords: | 雙界模型
條件評估法 |
| Date: | 2005 |
| Issue Date: | 2009-09-17 18:46:22 (UTC+8) |
| Abstract: | 就雙界二分選擇法的詢價情況，起價點配置的不同，如何影響願付價格的評估？再者，評估願付價格時，採用Tsai(2005)所提出的三要素模型來進行分析，是否會較傳統單一要素模型來的有效率？本文將透過模擬實驗的方式，來就前述兩項議題作分析探討？模擬結果顯示在評估願付價格平均數時，我們應該採用等距的設計方式設計起價點；在評估願付價格中位數時，則應該採用等百分比的設計方式。而第二次詢價採用提高為原始價格兩倍或降低二分之一的方式，應該是可以接受的。就模型的比較而言，我們發現不論資料的型態為何，三要素模型都較單一要素模型來的有效率。
Although the double-bounded dichotomous choice approach is commonly used in a survey to estimate WTP values for a non-market good, the impact of the initial bid values is still not quite clear. Furthermore, models commonly used to analyze the data assume that all the respondents are willing to pay a reasonable price. Tsai(2005) presents a three-component mixture model that relaxes the assumption. How efficient is the model compared with the conventional “one-component model” is also unknown. We focus on these two issues in this study. Simulation results show that equally-spaced design is good for estimating the mean WTP, while designs based on percentiles should be considered as far as the median WTP is concerned. And, the conventional approaches that choose the follow-up bid values to be either double or one half the initial bid values appear acceptable. In addition, regardless the data structure, the three-component models are more efficient than the conventional one-component models. |
| Reference: | 中文書目
劉錦添 (1990)，「淡水河水質改善的經濟效益評估—封閉式假設市場評估法之應用」，經濟論文，18，99-128。
黃世賢 (1998)，「國家公園遊憩經濟效益值之估計—以陽明山國家公園為例」，國立中興大學都市計劃研究所碩士論文。
吳珮瑛、劉哲良、蘇明達 (2004)，「受訪金額在開放選擇條件評估支付模式的作用—引導或是誤導」，農業經濟論文，77，1-43。
英文書目
Alberini, A. (1995), “Efficiency vs. Bias of Willingness-to-Pay Estimates: Bivariate and Interval-Data Models,” Journal of Environmental Economics and Management, 29, 169-180.
Bishop, R. C. and Heberlien, T. A. (1979), “Contingent Values of Extra-market Goods: Are Indirect Measures Biased?,” American Journal of Agricultural Economics, 61, 926-930.
Carson, R. (1985), Three essays on contingent valuation. Ph. D. thesis, University of
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Chen, C. H., Horng, C. F. and Wu, Y. C. (2004), “A Mixture Regression Model in Event History Analysis with Non-Susceptibility and General Interval Censorship,” unpublished manuscript.
Ciriacy-Wantrup, S.V. (1947), “Capital Returns from Soil-conservation Practices,” Journal of Farm Economics, 29, 1181-1196.
Cummings, R., Brookshire, D., and Schulze, W., Eds. (1986), Valuing Environmental Goods: An Assessment of the Contingent Valuation Method, Totowa, NJ: Rowman and Allenheld.
Davis, R. K. (1963), “Recreation Planning as an Economic Problem,” Natural Resource Journal, 3, 239-249.
Dickie, M. and Gerking, S.(1996), “Formation of Risk Beliefs, Joint Production and Willingness to Pay to Avoid Skin Cancer,” The Review of Economics and Statistics, 451-463.
Hanemann, W.(1985). “Some Issues in Continuous and Discrete Response Contingent Valuation Studies,” Northeast Journal of Agricultural Economics, 14, 5–13.
Hanemann, M., Loomis, J. and Kanninen, B. (1991), “Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation,” American Journal Agricultural Economics, 73, 1255-1263.
Kartman, B, Stålhammar N.O. and Hohannesson M. (1997), “Contingent Valuation with an Open-Ended Follow-Up Question: A Test of Scope Effects,” Health Economics Letter, 6, 367-369.
Miller, R. G. (1981), Survival Analysis, New York: John Wiley.
Mitchell, R.C. and Carson, R.T. (1989), “Using Surveys to Value Public Goods: The Contingent Valuation Method,” Washington, D.C., Resources for the Future.
Scarpa, R and Bateman, I (2000), “Efficiency Gains Afforded by Improved Bid Design versus Follow-up Valuation Questions in Discrete-Choice CV Studies,” Land Economics, 76, 299-311.
Tsai, I.-L. (2005), “A Three-Component Mixture Model in Willingness-to-Pay Analysis for General Interval Censored Data,” unpublished master’s thesis, National Chengchi University, Taiwan.
Werner, M. (1999), “Allowing for Zeros in Dichotomous-Choice Contingent Valuation Models,” Journal of Business and Economics Statistics, 17, 479–486.
Yamaguchi, K. (1992), “Accelerated Failure-time Regression Models with a Regression Model of Surviving Fraction,” Journal of the American Statistical Association, 87, 284-292. |
| Description: | 碩士
國立政治大學
統計研究所
93354015
94 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0093354015 |
| Data Type: | thesis |
| Appears in Collections: | [統計學系] 學位論文
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