臺灣博碩士論文加值系統

住宅不僅受到住宅自身的屬性所影響，區位也是一個重要的因素。住宅擁有較佳的區位時，不僅擁有較佳的生活品質，更使住宅擁有較高的增值空間。如何以較客觀的區域特徵變數，表示該區域之優劣，實為重要的課題。本文以行政區與學校學區作為劃分區域的方法，並以鄰里富裕指數作為行政區的特徵變數以及以明星學校、各國中第一志願考取率作為學校學區的特徵變數，用來評估該區為的優劣。並分別以區域劃分的不同，分別進行階層線性模型(hierarchical linear modeling)與交互嵌套階層線性模型(hierarchical cross-classified linear modeling)來估計住宅價格。

實證結果顯示住宅價格必須使用階層線性模型或交互嵌套階層線性模型估計。在這兩個模型中，除了住宅特徵屬性影響住宅價格以外，區域特徵變數鄰里富裕指數與升學率也直接影響住宅價格，並且住宅屬性還會受到鄰里富裕指數與升學率的調節。

Houses are not only influenced by their attributes, but also the location. A good location represents better quality of life, and enhances the added value of the houses. It is an important issue to indicate the quality of the districts by objective regional characteristic variables. This study divides the districts into administrative districts and school districts. Neighborhood affluent index is treated as the characteristic variable of administrative districts, and star schools and first-choice admission rate in junior high schools are treated as the characteristic variables of school districts for evaluating the quality of districts. According to different districts, hierarchical linear modeling and hierarchical cross-classified linear modeling are adopted to estimate housing prices.

Empirical result demonstrates that housing prices must be estimated by hierarchical linear model or hierarchical cross-classified linear model. In these two models, the housing prices are not only affected by the housing attributes, but also the regional characteristic variables (Neighborhood affluent index and promotion rate). Housing attributes are also mediated by neighborhood affluent index and promotion rate.

第一章 緒論
第一節 研究背景與動機
第二節 研究目的
第三節 研究問題與架構
第四節 研究範圍與對象
一、空間範圍與時間範圍
二、研究對象與資料來源
第五節 研究流程
第二章 文獻回顧
第一節 我國學區與美國學區的差異
第二節 明星學區與學校學區對住宅價格的影響
第三節 鄰里富裕指數對住宅價格的影響
第四節 傳統特徵價格模型與階層線性模型
第三章 研究方法
第一節 實證模型設定
一、階層線性模型
（一）、零模型
（二）、隨機係數模型
（三）、條件模型
一、交互嵌套階層線性模型
（一）、無條件模型
（二）、交互組全模型
（三）、條件模型
第二節 變數選取與處理
第四章 資料來源與描述性統計
第一節 資料來源說明
第二節 描述性統計分析
第五章 實證結果分析
第一節 階層線性模型之零模型
第二節 階層線性模型之隨機係數模型
第三節 階層線性模型之條件模型
第四節 傳統OLS模型與HLM條件模型之比較
第五節 交互嵌套階層線性模型之無條件模型
第六節交互嵌套階層線性模型之條件模型
第六章 結論與建議
第一節 結論
第二節 建議

一、中文部分

1.李宜家、林慧淳與江東亮(2003)，地區剝奪程度、個人社經地位與台灣男性成人的吸煙行為，台灣公共衛生雜誌，22卷，1期：10-16。

2.李春長與童作君(2010)，住宅特徵價格模型之多層次分析，經濟論文叢，38卷，2期, 289-325。

3.李禹陞(2006)，台灣地區鄰里型態與個人社會經濟地位對個人健康之影響，臺北醫學大學公共衛生研究所碩士論文。

4.林素菁(2004)，臺北市國民中小明星學區邊際願意支付之估計，住宅學報，13卷1期：15-34。

5.林祖嘉與馬毓駿(2007)，特徵方程式大量估價法在台灣不動產之應用，住宅學報，十六卷二期：1-22。

6.林慧淳(2001)，地區剝奪與死亡率之相關：以台灣為例，國立台灣大學衛生政策與管理研究所碩士論文。

7.林蕙鈺(2008)，環境品質、鄰里富裕對住宅價格的影響—應用階層線性模型分析，屏東商業技術學院不動產經營系(所)碩士論文。

8.張金鶚與范垂爐 (1993)，房地產真實交易價格之研究，住宅學報，1期：75-97。
9.楊宗憲(2004)，住宅市場之產品定位分析—建商推案行為之研究，住宅學報，十二卷，二期：123-129。

10.陳冠雄(2009)，地區社經因素、個人社經地位與自評健康，國立臺灣大學衛生政策與管理研究所碩士論文。

一、英文部分

1.Barrow, L. (2002). School Choice Through Relocation: Evidence from Washington ,D .C. Area .Journal of Public Economics,862,155-189.

2.Brasington, David M. and Haurin, Donald R.(2009). Parents, peers, or school inputs: Which components of school outcomes are capitalized into house value?. Regional Science and Urban Economics, Elsevier, 39(5),523-529.

3.Brown, K. H. and Uyar, B. (2004). A Hierarchical Linear Model Approach for Assessing the Effects of House and Neighborhood Characteristics on Housing Prices. Journal of Real Estate Practice and Education, 7(1), 15-23.

4.Bogart , W.T. and B. A. Cromwell. (1997). How Much More Is a Good District Worth?. National Tax Journal, 50, 215-232.

5.John M. Quigley. (1985).Consumer choice of dwelling, neighborhood and public services. Regional Science and Urban Economics, 15(1) , 41-63.


6.Crone, T.M. (1998) House Prices and the Quality of Public Schools: What Are We Buying? . Business Review, Sep./Oct., 3-14.

7.C.E, Ross and Mirowsky (2001). Neighborhood disadvantage, disorder, andhealth. Journal of Health and Social Behavior, 42, 258–276.

8.Diez-Roux, A. V. (2003). The examination of neighborhood effects on health: conceptual and methodological issues related to the presence of multiple levels of organization. In L. F. Berkman & I. Kawachi (Eds.), Neighborhoods and health. New York: Oxford University Press.


9.David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.

10.Downes, T. A., and Zabel, J. E. (2002). The impact of school characteristics on house prices: Chicago 1987-1991. Journal of Urban Economics, 52(1), 1-25.

11.Grabler, L., D. M. Blank , & L. Winnick. (1956). Capital Formation in Residential Real Estate: Trends and Prospects. Princeton: Princeton University Press.

12.Haurin, D.R. and D .Brasington, (1996). School Quality and Real House Prices:Interand372.forthcoming.

13.Hayes, K. and L. Taylor. (1996). Neighborhood School Characteristics: What Signals Quality to Homebuyers? . Economic Review, 4, 2-9.

14.Jones, K., and Duncan, C. (1995). Individuals and their ecologies: analysing the geography of chronic illness within a multilevel modelling framework. Health & Place, 1(1), 27-40.

15.Jud, G.D. and J. M. Watts. (1981). Schools and Housing Values. Land Economics , 573, 459-470.

16.Kawachi I, Subramanian SV, Kim D (Eds). (2007). Social Capital and Health. Springer.

17.Kearns, A. and Forrest, R. (2000). Social Cohesion and Multilevel Urban Governance. Urban Studies, 37, (5-6), 995-1017.

18.Kiel, Katherine A. and Zabel, Jeffrey E. (2008). Location, location, location: The 3L Approach to house price determination. Journal of Housing Economics, Elsevier,17(2),175-190,June.

19.Osborne, J.W. (2000). Advantages of Hierarchical Modeling. Practical Assessment, Research and Evaluation, 7, 1.

20.O''Campo, P., and Caughy, M. O. (2006). Measures of residential community contexts. In J. M. Oakes & J. S. Kaufman (Eds.), Methods in Social Epidemiology, San Francisco, CA: Jossey-Bass.

21.Raudenbush, S. W., and Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. Sage Publications Inc.

22.Sirmans, G. S., Zietz, E. N., & MacPherson, D. (2005). The Composition of Hedonic Pricing Models. Journal of Real Estate Literature, 13 (1), 3-43.

23.Sloggett, A., and Joshi, H. (1994). Higher mortality in deprived areas - community or personal disadvantage. British Medical Journal, 309, (6967), 1470-1474.

24.Sloggett, A., and Joshi, H. (1998). Deprivation indicators as predictors of life events 1981-1992 based on the UK ONS longitudinal study. Journal of Epidemiology and Community Health, 52(4), 228-233.

25.Smith, B. (2000). The Perceived Quality of Public School. Dept of Economics ,East Cardina University.

26.Townsend, P. (1987). Deprivation. Journal of Social Policy, 16(2), 125-146.

27.Uyar, Bulent and Brown, Kenneth H. (2007). Neighborhood Affluence, School-Achievement Scores and Housing Prices: Cross-Classified Hierrarchies and HLM. Journal of Housing Research, 16 (2), 97-116.

28.Youngme Seo and Robert A. Simons. (2009). The Effect of School Quality on Residential Sales Price. Journal of Real Estate Research, 31(3), 307-328.


29.Zahirovic-Herbert, Velma and GeoffreyK.Turnbull. (2008). School Quality, House Price and Liquidity. Journal of Real Estate Finance and Economics, 37(2).