本文主旨在探討臺北市與新北市共同邊界兩側房價的差異。相鄰的兩地，理應在地理環境尚無太大差異；因此，倘若越過邊界，過一座橋或間隔一條馬路，房價就會有所落差，我們把這稱作邊界效果 (border effect)。
國內不乏探討房價的文獻，其中大多數僅以臺北市房屋交易資料探討房價相關議題，且多數文獻是探討與房屋相關的單一特徵對於房價會有如何的影響。關於兩地區房價差異的議題鮮少見得，畢竟一般大眾都認為兩城市房價差異以平均房價來看便能略知一二；然而，房價差異若僅拿兩城市整體數據來做探討便容易忽略掉許多額外因素對房價造成的影響，並無法確定只因為臺北市為首都就有較高的房價。
本文利用內政部不動產實價登入資料並使用斷點迴歸設計 (regression discontinuity design) 對雙北邊界兩旁的房價差異做估計。斷點迴歸設計至今已被國外許多國外學者拿來進行實證上的應用，其中也有探討邊界兩側房價的差異的文獻。此外，本文也利用傾向分數配對 (propensity score matching) 去解決邊界兩側房屋特徵上的不同而造成估計上的偏誤。
實證結果發現，邊界效果存在並且造成臺北市的房價要高於新北市房價；若將雙北地區分成四個不同區域做估計，分別為北投淡水區、淡水河畔區以及汐止南港區，估計結果發現四個區域皆出現顯著的邊界效果，只是邊界效果的大小以及存在的範圍皆不相同，本文也對各區邊界效果的主要原因做討論。

The main purpose of this paper is to explore the differences in house prices on both sides of the common boundary between Taipei City and New Taipei City. Adjacent to the two places, there should be no differences in the geographical environment; therefore, if it crosses the border, crosses a bridge or be separated by a road, there will be a drop in price, then we call it “the border effect”.
There is no shortage of literature on housing prices in the country, most of which only discuss housing price-related issues in Taipei housing transaction data, and most of the literature explores how a single feature associated with housing affects housing prices. The discussion of housing price differences between the two regions is rare. After all, the general thinking is that the differences in house prices between the two cities are commonly observed in terms of average house prices. However, if the differences in house prices are based on the overall data of the two cities, it is easy to ignore the impact of many additional factors on housing prices.
This paper uses the Ministry of the Interior real estate entry price data to estimate the differences in house prices on both sides of the common border between Taipei City and New Taipei City. We apply regression discontinuity design, which has been used by many foreign scholars for empirical applications with literatures that explore the differences in house prices on both sides of the boundary. In addition, this paper also uses propensity score matching to solve the diversity in housing features, which may cause estimation bias in the housing characteristics on both sides of the boundary.
The empirical results show that the border effect exists and the house price in Taipei City is higher than that in New Taipei City. If we divide the whole region into four different areas, which called Beitou-Tamsui Area, Tamsui Riverside Area, Xindian River Area and Xizhi-Nangang Area for estimation. The results show that the border effect does exist in each area. This paper also discusses the main causes for the border effect.

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資料來源:

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臺北市政府地理資訊資料倉儲系統 :
http://giswh.taipei.gov.tw/gwh/tp94-2/sys4/metadata/download.cfm