英文摘要 |
The behavior of bidders depends on the various attributes of foreclosure. Thus, the analysis of foreclosure attributes is critical to deriving a price per floor area, especially since the market for foreclosed houses in Taiwan has unique characteristics such as “with or without a final walkthrough". The results of this study can explain the contradictory results of positive and negative correlations between the price per floor area and floor area in previous studies but not in a submarket for foreclosed houses without a final walkthrough. Although Zietz et al. (2008) and Shie & Chang (2010) argued that quantile regression analysis is more accurate than OLS regression, the results of this study suggest that even a good analytical model will generate erroneous outcomes without appropriate market segmentation. Therefore, the importance of investigating sub-markets is more critical than that of using different analytical methods. In particular, in high-diversity markets such as the real estate market, the lack of appropriately segmented markets could result in distorted and even erroneous bidding behavior in sub-markets. |