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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118817


    Title: Establishing dynamic impact function for house pricing based on surrounding multi-attributes: Evidence from Taipei City
    Authors: Chen, Jieh-Haur;Yang, Li-Ren;Azzizi, Vidya Trisandin;Chu, Eric;Wei, Hsi-Hsien
    Keywords: house pricing theory;impact function;multi-attribute;financial engineering;property management
    Date: 2019-08-05
    Issue Date: 2020-07-01 12:10:30 (UTC+8)
    Publisher: Vilniaus Gedimino Technikos Universitetas * Leidykla Technika
    Abstract: The objective of the research is aimed for a solution that is to establish the dynamic impact function of surrounding multi-attribute for house pricing. It is also able to measure the ripple effect and allows the hedonic parameter estimates
    to vary from point-to-point. A comprehensive literature review is carried out to obtain an adequate theoretical basis for the
    corresponding hypothesis and concepts. The proposed dynamic impact function for multi- attributes is then constructed
    based on the characteristics of surrounding facilities. Adopting the convenience sampling criteria of 95% confidence level
    on the data sampling and 10% limit of error in a 5−95% proportion, we collect the empirical data of 39 yearly house sales
    in the investigated urban areas of Taipei city focusing on housing prices and then utilize them for evaluating and adjusting
    the function. The actual house price and that of proposed function affected by Mass Rapid Transit (MRT) stations are analysed, resulting in the correlation coefficient at 0.946 (single attribute) and 0.944 (multi-attribute), respectively. The findings support that proposed function can highly represent the house pricing pattern and be an accurate tool for appraisers.
    Relation: International Journal of Strategic Property Management 24(2), p.119-129
    DOI: 10.3846/ijspm.2020.11096
    Appears in Collections:[Graduate Institute & Department of Business Administration] Journal Article

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