本研究應用特徵價格法探討大安區、信義區住宅房價，乃以中高級中古屋住宅做為住宅市場區隔（housing market segmentation），透過專家訪談選取出足以反應中高級中古屋住宅價格之22個屬性變數，並鑑於影響大安區、信義區中高級中古屋住宅之屬性間共線性，乃以主成份分析（principal component analysis）來精減變數，並消除此共線性，再以複迴歸分析（multiple regression analysis）建立特徵價格模式，其優點為住宅特徵價格藉由主成份分析精減之屬性變數表示，使本研究特徵價格模式較為簡潔；缺點為精減之屬性變數係由初始屬性變數求得，應用上須依各初始屬性變數之標準化值以求取精減之主成份之標準化值，再代入本研究特徵價格模式求得特徵價格，增加本研究特徵價格模式使用上難度。
本研究之特徵價格模式估價精確性仍待強化，可由屬性變數選取、成交總價及面積釐清等方面予以改進，並排除特殊交易狀況之樣本，以提高所求得之特徵價格模式估價精確性。

This study aimed to apply the hedonic price method to estimate housing prices in Da-an district and Hsinyi district. Used-residential houses at the intermediate-high level were viewed as a segment in housing market segmentation. Through expert interviews, 22 attributes that could reflect the price of used-residential houses at the intermediate-high level were selected. Considering the multicollinearity between attributes of used-residential houses at the intermediate-high level in Da-an and Hsinyi districts, principal component analysis was applied to reduce variables and multicollinearity between attributes, and multiple regression analysis was further conducted to construct a hedonic price model. The advantage of this model was that the attribute variables used were reduced through principal component analysis, so the model would be simpler and less complicated. The drawback was that the reduced attribute variables were derived from the initial attribute variables, so in practical applications, the standardized value of each reduced principal component should be derived according to the standardized value of each initial attribute variable before it could be used in the hedonic price model to obtain the hedonic price. This drawback would increase the difficulty of using the constructed hedonic price model.
The estimation accuracy of the constructed hedonic price model could be further enhanced through improvement of attribute selection, clarification of actual trading price and area. Besides, samples with special conditions could also be excluded to increase the price estimation accuracy of the constructed model.

1. 不動產估價技術規則，2006年06月12日修正。
2. 許文昌，不動產估價理論，高點文化事業，2006年10月。
3. Waugh, F. V., “Quality Factor Infuencing Vegetable Prices,” Journal of Farm Economics, Vol. 10, pp.185-196(1929).
4. Alonso, W., Location and Land Use: toward a General Theory of Land Rent, Cambridge, MA: Harvard University Press(1964).
5. Becker, G., “A Theory of the Allocation of Time,” Economic Journal, Vol.75, pp.493-517(1965).
6. Lancaster, K. J., “A New Approach to Consumer Theory,” Journal of Political Economy, Vol.74, No.2, pp.132-157(1966).
7. Ridker, R. G. and J. A. Henning, “The Determinants of Residential Property Value with Special Reference to Air Pollution,” Review of Economics and Statistics, Vol.49, No.2, pp.246-257(1967).
8. Muth, R. F., Cities and Housing, Chicago: University of Chicago Press.
9. Rosen, S. (1974), ”Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition,” Journal of Political Economy, Vol.82, pp.34-55(1969).
10. Freeman, A. Myrick, III, “Hedonic Prices, Property Values and Measuring Environmental Benefits: A Survey of the Issues,” Scandinavian Journal of Economics, Vol.18, No.2, pp.154-173(1979).
11. Brasington, D. M., ”Capitalization and Community,” Journal of urban Economics, Vol.50, pp.385-395(2001).
12. Brasington, D. M., ”Edge versus Center: Finding Common Ground in the Capitalization Debate,” Journal of urban Economics, Vol.52, pp.524-541(2002).
13. Bae, C.-H. C., M.-J. Jun, and H. Park, ”The Impact of Seoul’s Subway Line 5 on Residential Property Values,” Transport Policy, Vol.10, pp.85-94(2003).
14. Goodman, A. C. and T.G. Thibodeau, ”Housing Market Segmentation and Hedonic Prediction Accuracy,” Journal of Housing Economics, Vol.12, pp.181-201(2003).
15. Stevenson, S., ”New Empirical Evidence on Heteroscedasticity in Hedonic Housing Models,” Journal of Housing Economics, Vol.13, pp.136-153(2004).
16. Song, Y. and G.-J. Knaap, ”Measuring the Effects of Mixed Land Uses on Housing Values,” Regional science and urban Economics, Vol.34, pp.663-680(2004).
17. Hoyt, W. H., “Local Government Expenditures, and Capitalization,” Regional Science and Urban Economics, Vol.29, pp.155-171(1999).
18. 林祖嘉，「台灣地區房租與房價關係之研究」，臺灣銀行季刊，第43卷，第1期，第279-312頁，1992。
19. 翁淑貞，「台北都會區空氣污染對住宅價格影響之研究－應用特徵價格法」，中興大學都市計劃研究所碩士論文，1992。
20. 曾明遜，「不寧適設施對住宅價格影響之研究―以垃圾處理場為個案」，中興大學都市計劃研究所碩士論文，1992。
21. 張金鶚、劉秀玲，「房地產品質、價格與消費者物價指數之探討」，國立政治大學學報，第67期，下冊，第369-400頁，1993。
22. 張金鶚、范垂爐，「房地產真實交易價格之研究」，住宅學報，第1期，第75-97頁，1993。
23. 馮正民、曾平毅、王冠斐，「捷運系統對車站地區房價之影響」，都市與計劃，第21卷，第1期，第25-45頁，1994。
24. 廖仲仁，「機場噪音對住宅價格之影響―以台北松山機場附近住宅為例」，台灣大學建築與城鄉研究所碩士論文，1994。
25. 林秋瑾、楊宗憲、張金鶚，「住宅價格指數之研究―以台北市為例」，住宅學報，第4期，第1-30頁，1996。
26. 林國民，「高雄市自有住宅特徵價格之研究」，成功大學都市計劃研究所碩士論文，1996。
27. 洪得洋、林祖嘉，「台北市捷運系統與道路寬度對房屋價格影響之研究」，住宅學報，第8期，第47-67頁，1999。
28. 黃至豪，「台北捷運營運前後之沿線房地屬性特徵價格之比較分析」，長榮管理學院土地管理與開發學系碩士論文，2002。
29. 陳憶如，「拍賣制度、市場機制與法拍屋價格之分析」，成功大學地政研究所碩士論文，2004。
30. 李怡婷，「大眾運輸導向發展策略對捷運站區房地產價格之影響分析」，成功大學都市計劃研究所碩士論文，2005。
31. Box, G. E. P. and D. R. Cox, ” An Analysis of Transformation,” Journal of the Royal Statistics Society, Vol. 16, No. 2, pp.211-252(1964).
32. Cassel, E. and R. Mendelsohn, “The Choice of Functional Forms for Hedonic Price Equations: Comment,” Journal of Urban Economics, No.18, pp.135-142(1985).
33. Brown, J. N. and H. S. Rosen, “On the Estimation of Structural Hedonic Price Models,” Econometrica, Vol.50, No.3, pp.765-768(1982).
34. Palmquist, R. B., “Hedonic Method,” in Braden, J. B. and C. D. Kolstad (eds.), Measuring the Demand for Environmental Quality, North-Holland(1991).
35. 邱皓政，量化研究與統計分析: SPSS中文視窗版資料分析範例解析，五南圖書出版股份有限公司，2002。
36. Kaiser, H. F., “The Application of Electronic Computer to Factor Analysis,” Eductional and Psychological Measurement, pp.141-151(1960).
37. 唐富藏、張有恆，「都市大眾捷運系統之接運系統規劃設計」，運輸計劃季刊，第11卷，第4期，1982。