本研究目的為建立以電子商務平台筆記型電腦銷售資料為主之消費者物價指數與實質銷售成長率，研究方法為先找出消費者於選購筆記型電腦時關心的特徵，再使用特徵價格模型算出特徵價格，特徵價格結合銷售數量即可得到消費者物價指數與實質銷售成長率，最後使用連鎖法把不同期間的指數相連接，建立一系列以特徵價格模型為基礎之消費者物價指數與實質銷售成長率。透過本研究結果可用以評估在研究期間之筆記型電腦價格趨勢與銷售數量，期望透過研究建立之指數可以促進筆記型電腦廠商公平競爭，也為消費者提供價格參考，進而引導銷售業者的經營行為。

The research was to build the CPI and real sales growth rate of e-commerce platform sales data. The first step was to find the characteristics which customers cared about. Then applied the hedonic price methods to calculate the price of the characteristics. Using the price of the characteristics and selling quantity could derive the consumer price index (CPI) and real sales growth rate. Employ the chain-linking method to link the indices. Finally, the research constructed a series of CPI and real sales growth rate according the hedonic price methods. The results can provide people to evaluate the trend of the price of the laptops and selling quantity. Hopefully, the research can inspire the manufacturer compete fairly and provide the price reference to customers as well. Then guide the manufacturer operation behavior.

論文審定書 i
摘要 ii
Abstract iii
目錄 iv
圖次 vi
表次 vii
第一章 緒論 1
1.1 研究背景 1
1.2 研究目的 2
第二章 文獻回顧 3
2.1 Match model 3
2.1.1 Overlapping link 3
2.1.2 Direct comparison method 4
2.1.3 The link-to-show-no-price-change method 5
2.1.4 The deletion, or imputed price change–implicit quality adjustment (IP-IQ), method 5
2.2 特徵價格法 (Hedonic price methods) 6
2.2.1 The time dummy variable method 7
2.2.2 The characteristics price index method 7
2.2.3 The hedonic price imputation method 9
2.2.4 The hedonic quality adjustment method 9
2.3 挑選特徵變數 10
2.4 連鎖法 14
第三章 研究方法 15
3.1 資料簡介 15
3.2 外接詳細資料 16
3.3 建立特徵價格模型 18
3.3.1 特徵價格變數 18
3.3.2 特徵方程式 20
3.3.3 編製指數 21
第四章 研究結果 23
4.1 筆記型電腦特徵價格與 CPI指數 23
4.2 實質銷售成長率 27
第五章 結論與建議 29
5.1 結論 29
5.1.1 研究限制 30
5.2 建議 30
參考文獻 31

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2. 中文文獻
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