| 研究生: |
王荷惠 Wang, Ho Hui |
|---|---|
| 論文名稱: |
台灣地區基因檢測之意向及願付價格調查 The Investigation of people's intention and their willingness to pay toward genetic testing in Taiwan |
| 指導教授: | 江振東 |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 統計學系 Department of Statistics |
| 論文出版年: | 2008 |
| 畢業學年度: | 96 |
| 語文別: | 英文 |
| 論文頁數: | 49 |
| 中文關鍵詞: | 願付價格 、基因檢測 、加速失敗模型 |
| 外文關鍵詞: | WTP, Genetic testing, AFT model |
| 相關次數: | 點閱:464 下載:116 |
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本研究的目的主要是想要探討台灣地區的人民對於基因檢測的意向及願付價格。資料來自於中央研究院所主導的一項電話訪問,其中有關願付價格的部分是透過條件評估法的方式來取得。針對願付價格的分析,我們藉由潛在變數模型將受訪者對於基因檢測的知識、態度和自我認知等資訊萃取出來,並視為新的解釋變數來進行分析。此外,僅完成單界詢價過程的受訪者的資訊也和提供完整回答的受訪者一併納入分析。
結果顯示一個人的性別、教育程度、宗教信仰傾向及對基因檢測的態度會顯著影響是否願意免費參加基因檢測的意願。而在詢價過程中,一開始受訪者被問及的金額和此人其基因檢測相關的知識程度影響了他(她)是否願意付錢參加基因檢測。至於在願意付合理價格的人們之中,他們的健康程度、收入和自家人的癌症病史則皆為影響價格高低的因素。
This study is aimed to explore people’s intention and their willingness to pay (WTP) for genetic testing in Taiwan. A telephone survey using contingent valuation method (CVM) was conducted by the Academia Sinica to collect the data. There are three unique features that distinguish our data analysis approach from the others. First, the covariates related to a respondent’s knowledge, attitude and perception (KAP) on genetic testing are generated through the use of a latent trait model. Second, the information collected from a respondent who completed only the single-bounded part of the survey is also included in the analysis. Third, reasons given by a respondent is used to decide whether he/she is willing to pay a lower price or unwilling to pay any price.
It is shown that one’s gender, education level, religious tendency and attitude all have significant impact on whether a respondent is willing to try a free genetic test. When it comes to pay for it, the initial bid asked and the degrees of knowledge affect his/her decision a lot. For those who are willing to pay a reasonable price for genetic testing, their WTP depend largely on their health conditions, incomes, and cancer histories.
1 Introduction 1
2 Literature Review 2
3 Theory and Models 4
3.1 Latent Trait Models for Binary Data 4
3.2 Two-Component Mixture Model 6
3.3 Accelerated Failure Time Model 9
4 The Survey 11
4.1 Questionnaire Design 11
4.2 Framework of this Study 15
5 Empirical Results 19
5.1 Latent Trait Models for KAP 19
5.2 Logistic Regression-“Willingness to Do” 21
5.3 Logistic Regression-“Willingness to Pay” 22
5.4 Estimate of 2-component mixture model 23
5.5 Estimate of Mean and Median of Reasonable WTP 32
6 Conclusions 33
References 34
Appendices 36
A: Original Questionnaire (in Traditional Chinese) 36
B: Itemized Classifications of (No, No) Reasons 44
C: Logistic Regression of Ungrouped Initial Bids 47
D: Estimate of 2-Component Mixture Model (Without Considering the Effect of Initial Bids) 48
E: Estimate of Mean and Median of Reasonable WTP (Without Considering the Effect of Initial Bids) 49
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