本研究使用分量迴歸法探討夜市與捷運兩因子對於鄰近不動產價格之狀況，其中捷運區之劃分範圍為鄰近五百公尺，夜市商業區域劃分依據為鄰近一公里。本研究分析內政部不動產實價登錄系統提供之2015年第四季資料，選擇台北市各行政區之房地及房地加車位案件，建物型態選取套房、公寓、華廈、住宅大樓，並排除預售屋及親友間交易之案件。模型應變數分別以單價及總價進行探討，分量迴歸之分量選取0.1、0.25、0.5、0.75、0.9。分析結果顯示捷運對於各分量價格之鄰近不動產皆顯著，且係數為正，有高價位效果大於低價位效果之現象。夜市則只在高分量價格下顯著，且係數為負，顯示夜市之負面外部性對於鄰近之高價位不動產有著負向的影響。此外，夜市對於鄰近之低價位不動產有價格提升的現象，然其效果不顯著。

In this research, we use quantile regression to investigate the impacts of metro station and night market on housing prices. When the distance between sample location and metro station is less than 500 meter, we define this sample is in the “metro effect area”. Similarly, the distance of “night market effect area” is 1 kilometer.
Applying the historical real transaction data in Taipei in 2015 quarter 4, we found:
(1) There is a significant and positive effect for metro station on housing prices in every quantile. When the quantile is higher, the effect tends to be larger. That means at high price level, buyers are willing to pay more to buy the house which is located in the “metro effect area” than at the lower level.
(2) The effect for the night market on housing prices is only significant at the high quantile. The effect is negative, that means at high price level, if the house is in the “night market effect area”, buyers will reduce the price compare to the house outside the effect area. Besides, at low quantile, the impact for night market on housing price seems to be positive, however, this effect is not large enough to be significant.

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