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題名 三要素混合模型於設限資料之願付價格分析
A three-component mixture model in willingness-to-pay analysis for general interval censored data
作者 蔡依倫
Tsai,I-lun
貢獻者 江振東
Chiang,Jeng-tung
蔡依倫
Tsai,I-lun
關鍵詞 願付價格
加速失敗時間模型
一般化gamma模型
willing to pay
accelerated failure time model
generalized gamma distribution
日期 2004
上傳時間 2009-09-14
摘要 在探討願付價格的條件評估法中一種常被使用的方法為“雙界二分選擇法”,並且一個隱含的假設是,所有研究對象皆願意支付一個合理的金額。然而對於某些商品,有些人也許願意支付任何金額;相對的,有些人可能不願意支付任何金額。分析願付價格時若不考慮這兩類極端反應者,則可能會得到一個偏誤的願付價格。本篇研究中,我們提出一個“混合模型”來處理此議題,其中以多元邏輯斯迴歸模型來描述不同反應者的比例,並以加速失敗時間模型來估計願意支付合理金額者其願付價格的分布。此外,我們以關於治療高血壓新藥之願付價格實例,作為實證分析。
One commonly used method in contingent valuation (CV) survey for WTP (willingness-to-pay) is the “double-bound dichotomous choice approach” and an implicit assumption is that all study subjects are willing to pay a reasonable price. However, for certain goods, some subjects may be willing to pay any price for them, while some others may be unwilling to pay any price. Without considering these two types of the extreme respondents, a wrongly estimated WTP value will be obtained. We propose a “mixture model” to handle the issues in this study, in which a multinomial logistic model is taken to specify the proportions of different respondents and an accelerated failure time model is utilized to describe the distribution of WTP price for subjects who are willing to pay a reasonable price. In addition, an empirical example on WTP prices for a new hypertension treatment is provided to illustrate the proposed methods.
參考文獻 1. Agresti, A. (1996), An Introduction to Categorical Data Analysis, New York:
John Wiley.
2. 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.
3. Casella, G. and Berger, R. L. (2002), Statistical Inference, 2nd edition. Pacific Grove, Calif.: Duxbury.
4. 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(2004), “A Mixture Regression Model in Event History Analysis with Non-Susceptibility and General Interval Censorship”, unpublished manuscript.
5. Farewell, V. T. and Prentice, R. L. (1977) “A Study of Distributional Shape in Life Testing”, Technometrics, 19, 69-75.
6. Hanemann, W. M., Loomis, J. and Kanninen, B. (1991), “Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation,” American Journal Agricultural Economics, 73, 1255-1263.
7. Klein, J. P. and Moeschberger, M. L. (1997) Suvival Analysis: Techniques for Censored and Truncated Data, New York: Springer.
8. Lawless, J. F. (2003), Statistical Models and Methods for Lifetime Data, 2nd edition. New Jersey: John Wiley.
9. Miller, R. G. (1981), Survival Analysis, New York: John Wiley.
10. Moore, R. J. (1982), “Algorithm AS 187: Derivatives of the Incomplete Gamma Integral”, Applied Statistics, 31, 330-333.
11. Turnbull, B. W. (1976), “The Empirical Distribution Function with Arbitrarily Grouped Censored and Truncated Data”, Journal of the Royal Statistical Society, Series B, 38, 290-295.
12. Yamaguchi, K. (1992), “Accelerated Failure-time Regression Models with a Regression Model of Surviving Fraction,” Journal of the American Statistical Association, 87, 284-292.
13. Yeh, P. W. (2002), “The Study of Decision Making and Willingness to Pay in Risky Behavior”, unpublished Ph. D thesis, 80-131.
描述 碩士
國立政治大學
統計研究所
92354019
93
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0923540191
資料類型 thesis
dc.contributor.advisor 江振東zh_TW
dc.contributor.advisor Chiang,Jeng-tungen_US
dc.contributor.author (Authors) 蔡依倫zh_TW
dc.contributor.author (Authors) Tsai,I-lunen_US
dc.creator (作者) 蔡依倫zh_TW
dc.creator (作者) Tsai,I-lunen_US
dc.date (日期) 2004en_US
dc.date.accessioned 2009-09-14-
dc.date.available 2009-09-14-
dc.date.issued (上傳時間) 2009-09-14-
dc.identifier (Other Identifiers) G0923540191en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/30950-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 統計研究所zh_TW
dc.description (描述) 92354019zh_TW
dc.description (描述) 93zh_TW
dc.description.abstract (摘要) 在探討願付價格的條件評估法中一種常被使用的方法為“雙界二分選擇法”,並且一個隱含的假設是,所有研究對象皆願意支付一個合理的金額。然而對於某些商品,有些人也許願意支付任何金額;相對的,有些人可能不願意支付任何金額。分析願付價格時若不考慮這兩類極端反應者,則可能會得到一個偏誤的願付價格。本篇研究中,我們提出一個“混合模型”來處理此議題,其中以多元邏輯斯迴歸模型來描述不同反應者的比例,並以加速失敗時間模型來估計願意支付合理金額者其願付價格的分布。此外,我們以關於治療高血壓新藥之願付價格實例,作為實證分析。zh_TW
dc.description.abstract (摘要) One commonly used method in contingent valuation (CV) survey for WTP (willingness-to-pay) is the “double-bound dichotomous choice approach” and an implicit assumption is that all study subjects are willing to pay a reasonable price. However, for certain goods, some subjects may be willing to pay any price for them, while some others may be unwilling to pay any price. Without considering these two types of the extreme respondents, a wrongly estimated WTP value will be obtained. We propose a “mixture model” to handle the issues in this study, in which a multinomial logistic model is taken to specify the proportions of different respondents and an accelerated failure time model is utilized to describe the distribution of WTP price for subjects who are willing to pay a reasonable price. In addition, an empirical example on WTP prices for a new hypertension treatment is provided to illustrate the proposed methods.en_US
dc.description.tableofcontents Section
     1. Introduction 1
     2. Review of Literature 4
     3. A Three-component Mixture Model 6
     4. Simulation Studies 12
     5. An Application 17
     6. Concluding Remarks 26
     References 28
     
     Appendix
     Ⅰ. The First and Second Derivatives of the
      Log-likelihood Function 30
     
     Ⅱ. Derivatives Related to the Log-likelihood Function 37
     
     Ⅲ. Setting Initial Values for Parameter Estimation 43
     Ⅳ. The WTP questionnaire 46
     Ⅴ. Computer programming 47
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0923540191en_US
dc.subject (關鍵詞) 願付價格zh_TW
dc.subject (關鍵詞) 加速失敗時間模型zh_TW
dc.subject (關鍵詞) 一般化gamma模型zh_TW
dc.subject (關鍵詞) willing to payen_US
dc.subject (關鍵詞) accelerated failure time modelen_US
dc.subject (關鍵詞) generalized gamma distributionen_US
dc.title (題名) 三要素混合模型於設限資料之願付價格分析zh_TW
dc.title (題名) A three-component mixture model in willingness-to-pay analysis for general interval censored dataen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 1. Agresti, A. (1996), An Introduction to Categorical Data Analysis, New York:zh_TW
dc.relation.reference (參考文獻) John Wiley.zh_TW
dc.relation.reference (參考文獻) 2. 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.zh_TW
dc.relation.reference (參考文獻) 3. Casella, G. and Berger, R. L. (2002), Statistical Inference, 2nd edition. Pacific Grove, Calif.: Duxbury.zh_TW
dc.relation.reference (參考文獻) 4. 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.zh_TW
dc.relation.reference (參考文獻) 5. Farewell, V. T. and Prentice, R. L. (1977) “A Study of Distributional Shape in Life Testing”, Technometrics, 19, 69-75.zh_TW
dc.relation.reference (參考文獻) 6. Hanemann, W. M., Loomis, J. and Kanninen, B. (1991), “Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation,” American Journal Agricultural Economics, 73, 1255-1263.zh_TW
dc.relation.reference (參考文獻) 7. Klein, J. P. and Moeschberger, M. L. (1997) Suvival Analysis: Techniques for Censored and Truncated Data, New York: Springer.zh_TW
dc.relation.reference (參考文獻) 8. Lawless, J. F. (2003), Statistical Models and Methods for Lifetime Data, 2nd edition. New Jersey: John Wiley.zh_TW
dc.relation.reference (參考文獻) 9. Miller, R. G. (1981), Survival Analysis, New York: John Wiley.zh_TW
dc.relation.reference (參考文獻) 10. Moore, R. J. (1982), “Algorithm AS 187: Derivatives of the Incomplete Gamma Integral”, Applied Statistics, 31, 330-333.zh_TW
dc.relation.reference (參考文獻) 11. Turnbull, B. W. (1976), “The Empirical Distribution Function with Arbitrarily Grouped Censored and Truncated Data”, Journal of the Royal Statistical Society, Series B, 38, 290-295.zh_TW
dc.relation.reference (參考文獻) 12. Yamaguchi, K. (1992), “Accelerated Failure-time Regression Models with a Regression Model of Surviving Fraction,” Journal of the American Statistical Association, 87, 284-292.zh_TW
dc.relation.reference (參考文獻) 13. Yeh, P. W. (2002), “The Study of Decision Making and Willingness to Pay in Risky Behavior”, unpublished Ph. D thesis, 80-131.zh_TW