住宅次市場定義合理性之探討：因素分析法之應用

林祖嘉; 林素菁

doi:10.6128/CP.36.2.133

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P133 - 153

Engineering > Civil Engineering & Architecture Engineering
Engineering > Municipal Engineering & Environment Engineering

DOI： 10.6128/CP

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住宅次市場定義合理性之探討：因素分析法之應用

Analysis of a Reasonable Definition of Housing Submarkets: An Application of Factor Analysis

林祖嘉(Chu-Chia Lin) ；林素菁(Sue-Jing Lin)

都市與計劃； 36卷2期 (2009 / 06 / 30) ， P133 - 153

繁體中文 DOI： 10.6128/CP.36.2.133

住宅次市場；因素分析；集群分析；單因子多變量變異數分析；命中率； Housing submarkets ； Factor analysis ； Cluster analysis ； One-way MANOVA ； Hit rate

Abstract │ Reference (43) │ Times Cited (9) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Previously, submarkets were defined based on the geographical boundaries or physical characteristics of the dwellings using a prior decision or predefined. Recently, there has been generally agreement that housing submarkets should be defined statistically to optimize the accuracy of hedonic predictions. This study first applies multivariate methods to define housing submarkets, and then explores the alternative definitions of submarkets on prediction accuracy. The empirical analysis employs an actual transaction data set from Taipei Metropolitan in 2004. This study found that the housing market of the Taipei Metropolitan area can be divided into three submarkets, with three common latent factors: housing construction, total housing price and floor space, and housing unit price and street width, respectively. Statistics differ significantly among the three submarkets. Compared with the traditional method by an administrative area, the inter-area difference of the housing construction factor is reduced. On the other hand, this study applies factor analysis using data for Taipei City and Taipei County, respectively. This study found that, when the separated data set was divided for both Taipei City and Taipei County, the hit rates were considerably higher while the MAPEs were significantly lower. The empirical results demonstrate that the three submarkets among city (or county) could be a good compliment for improving the prediction accuracy.

Reference ( 43 ) 〈TOP〉

林祖嘉、林素菁(1993)。台灣地區環境品質與公共設施對房價與房租影響之分析。住宅學報，1，21-45。
連結：
花敬群、張金鶚(1999)。住宅空間次市場價格比例與市場規模之關係。都市與計劃，26(1)，79-94。
連結：
Adair, A. S.,Berry, J. N.,McGreal, W. S.(1996).Hedonic modeling, housing submarkets and residential valuation.Journal of Property Research,13(1),67-83.
Allen, M. T.,Springer, T. M.,Waller, N. G.(1995).Implicit pricing across residential submarkets.Journal of Real Estate Finance and Economics,11(2),137-151.
Bajic, V.(1985).Housing-Market segmentation and demand for housing attributes: Some empirical findings.American Real Estate and Urban Economics Association,13(1),58-75.

Times Cited ( 9 ) 〈TOP〉

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