過往研究編製房價指數時多在品質固定或控制下，觀察房價的波動趨勢，對於住宅品質的改變如何影響房價則少有說明。而住宅品質為生活品質的一部分，亦為購屋者消費或投資時所關心，然住宅價格與品質間存在何種關係並不清楚，若認為高價格的住宅即代表高品質，則可能存在做出錯誤決策的風險。 本研究利用特徵價格法，探討台北市與台北縣於2000年至2009年間，新推個案與中古屋交易市場住宅品質的改變與房價關係。實證結果發現台北市的標準住宅的品質因改變程度較新北市小，故其對房價指數的波動不如在新北市中明顯。另外，台北市新推個案與中古屋住宅的區位條件無明顯衰退之情形，產品品質亦無明顯的提升；新北市新推個案與中古屋住宅的區位條件皆呈現衰退現象，但新推個案的產品品質則有提升趨勢，而中古屋住宅則是下降的趨勢。 最後，分析住宅價格與品質間的相關性，實證結果發現，新北市的新推個案住宅與台北市的中古屋住宅存在正相關，顯示在此兩種次市場中，支出更多價格購屋亦獲得更好的住宅品質。 / Most of the existing housing price indexes empirical studies are under quality-constant or quality-control, because housing quality change is difficult to measure. In these cases, one does not concerned about that price index, if one interested in consumption or investment. We use hedonic price model discusses the relationship of housing price and housing quality about new housing projects and transacted house during 2000 and 2009 in Taipei City and New-Taipei City. The empirical results show that due to degree of change in housing quality of representative house in Taipei City smaller than in New-Taipei City, so the volatility of the price index was significantly better in New-Taipei City. In addition, the Taipei City housing “location condition” no recession , and no obvious improvement of “structural quality”; New housing projects and transacted house in New-Taipei City, respectively, increase and decline, but the location condition are present recession. Furthermore, we find that there is positive correlation between housing price and quality in Taipei City’s transacted house market and New-Taipei City’s new housing projects market. In these two sub-markets, consumer spending more housing prices and get better housing quality.

近年來，台灣許多縣市的住宅價格不斷高漲，身為政經重鎮之台北市首當其衝，於2008~2009年金融海嘯時期，政府為維持經濟發展而全面將遺產及贈與稅調降為單一稅率10% 後尤然。以產品價值而言，此波上漲很可能來自於「逢低買進，逢高賣出」之投資心理造成。由於不動產最終用途為使用，當真實需求者無力負擔時將導致房市泡沫，更因房市的經濟佔額高，進而可能引發經濟泡沫。為檢視台北市住宅價格的合理性，鑒於出租住宅需求者動機單純，本文以租價關係探討台北市住宅價格是否已有偏離實際使用需求之現象；且是否因未來的住宅價格在預期之引導下，使房價似遵循著過去價格的成長而逐步提高，有不效率之現象。實證結果顯示，台北市住宅價格與租金間已然背離，在金融海嘯過後種種非理性現象更為嚴重，導致房價有偏離其合理結構之虞，成交總價越高的住宅、偏離情況越為明顯，而存在泡沫化危機。 / In recent years, the housing market has been awash with funds. The phenomenon resulted in domestic housing prices in Taipei rising year by year, especially after the Subprime mortgage crisis. From the viewpoint of economics, the price is decided by supply and demand. However, with regard to the value of product, this rising of housing price probably comes from the artificial demand. In other words, this kind of demand is just like "buy low and sell high". In addition, real estate is a special commodity, except as an investment good, it is also a necessary consumption good. Furthermore, real estate is expense, making housing the biggest item among households’ assets. Once housing price is too high and the actual demanders cannot burden with; that is likely to trigger a market bubble, which caused the imbalance of trade market. According to the aforementioned, this study will observe whether the housing price has deviated from the fundamentals in Taipei City. Since the demand of rent is only for living, we probing into the relationship between housing price and rent in order to observe the rationality of housing price; and if the future housing price in the anticipated guided, the price seems to follow the historical trend, and the higher the housing price of an area, the more significant. The empirical results show that, the housing price seems to prevail in unreasonable investment in Taipei City, which may lead into a bubble crisis.

自2002年，澳門政府開放賭權後，博彩業成為澳門重要的經濟命脈，伴隨著澳門經濟迅速發展，澳門住宅價格亦因此高速飛漲。故此，本研究係以澳門為主要研究對象，探討自澳門政府批出三份博彩經營權後，總體經濟、博彩業與澳門主住宅市間之關係。選取二零零一年第一季至二零一四年第四季之季資料，運用單根檢定、因果關係檢定與共整合檢定等研究方法進行實證分析，檢定變數間的因果關係是否有長短期均衡關係與是否有領先落後的效果。 根據實證結果顯示，存款利率、外來投資金額、外地僱員及飯店入住率領先住宅價格之變動，所得及博彩稅收與住宅價格則呈現雙向因果關係，而外來投資金額、外地僱員、飯店入住率皆屬於博彩旅遊相關之變數，顯示博彩業蓬勃發展能推動澳門住宅價格，使房價高漲。此外，博彩稅收、外來投資金額、外地僱員及飯店入住率皆對所得具有單向影響，故此，可推斷博彩業開放後為澳門帶來巨大的經濟衝擊。另一方面，澳門經濟發展高度依賴博彩業，中小企業亦因租金持續高漲、人力資源短缺等問題，面臨極大的成本壓力，嚴重排擠中小企業生存空間。 / In the year of 2002, after the gambling are allowing by the government in Macau, gambling has already become a pillar industry. Accompanying with the rapid development of economy, housing price has risen at high speed in Macau. Therefore, this paper aims to investigate the research of interactive relationship between the real estate market, macroeconomic and gambling industry variables on the basis of Granger causality test since the gambling concession was granted out to three companies. Our sample period starts from Q1 of 2001 to Q4 of 2014 with quarterly data. The research uses ADF Test, Granger Causality Test, and Cointegration Test model that we verify the relationship between macroeconomic variables and the real estate prices. The paper hopes to find out that whether the long-term steady changes between the real estate market and macroeconomic variables will be a leading or lagging effect. The empirical result shows that, deposits rate, foreign direct investment (FDI), non-resident workers (NRW) and hotel occupancy rate (HOR), are in the lead of variation of housing price, income and tax revenue from gaming presents a causal relationship with housing price. FDI, NRW and HOR belong to the variations of the gambling industry which reveal flourishing gambling industry cam promote the housing price in Macau. Moreover, tax revenue from gaming, FDI, NRW and HOR leads income. Thus, it can infer after the gambling are allowed, it brings a great impact on the economy in Macau. On the other hand, the economy of Macau too dependent on gambling. Medium-sized and small enterprises face lot of cost pressure such as the raising rent and short of hands, so that excluding vivo sphere of medium-sized and enterprises.

During the past few years, the housing price has increased for both Sweden and the United Kingdom, and according to previous studies there can be many reasons for this development. The purpose of this study is to investigate the degree of differences and similarities between two housing markets. Specifically, this study explores how investors and buyers of housing acts on different markets, and how this changes the price development. The two regions this study focuses on are Greater Stockholm, in comparison with Greater London during the time period January 2005 until December 2018. The theories used are the Greater Fool theory and the Market Process theory, to analyze the result from the regressions run for this study. In the empirical study, time series were used, where several independent variables examined the potential connection to the housing price development. One time series was used for Greater Stockholm, and one time series for Greater London. The result of the study gave ambiguous indications, where most of the variables did not show statistical significance. This means that the change in these variables is not likely to affect the development of housing prices. While two variables for Greater London turned out to be statistically significant. / Priserna på bostäder har under de senaste åren ökat för både Sverige och Storbritannien. Enligt tidigare studier kan det finnas många skäl till denna utveckling. Syftet med denna studie är att undersöka graden av skillnader och likheter mellan två bostadsmarknader. Mer specifikt, undersöker studien hur investerare och köpare av bostäder agerar på olika marknader, samt hur detta förändrar prisbildningen. De två regioner som studien lägger fokus på är Storstockholm i jämförelse med Storlondon under tidsperioden januari 2005 till december 2018. Greater Fool-teorin och Marknadsprocess-teorin har använts för att analysera resultat från regressioner som gjordes för denna studie. I den empiriska studien användes tidsserier där flertalet oberoende variabler undersökte den potentiella kopplingen till prisutvecklingen på bostäder, en tidsserie för Storstockholm och en tidsserie för Storlondon. I resultat av uppsatsen gavs tvetydiga indikationer, där de flesta av variablerna inte visade på statistisk signifikans, vilket innebär att förändringen i dessa variabler troligen inte påverkar prisutvecklingen på bostäder. Medan två variabler för Storlondon visade sig vara statistiskt signifikanta.

Amorteringskravet infördes den första juni 2016 som en åtgärd för att dämpa den oavbrutet ökande skuldsättningen i Sveriges hushåll. Hushållens höga skuldsättning har varit mycket omtalad de senaste åren och lett till diskussioner om huruvida den innebär risk för den makroekonomiska och finansiella stabiliteten. Banker, myndigheter och högskolor verksamma inom bostadsmarknaden har varit både positiva och skeptiska till amorteringskravet som åtgärd för att minska hushållens skuldsättning och menar att konsekvenserna på bostadsmarknaden kan vara både positiva och negativa. Med denna bakgrund är syftet med uppsatsen att studera om och hur amorteringskravet hittills har påverkat bostadspriserna och skuldsättningen för bolån, samt om regleringen har varit den ultimata åtgärden för att uppnå en sundare ekonomi. För att uppnå uppsatsens syfte, har en kvalitativ metod, som innefattat intervjuer och litteraturstudie, samt en kvantitativ studie, som baserats på statistik, valts. Genom intervjuer med aktörer verksamma inom bostadsmarknaden samt statistiska tester, har en slutsats dragits om att amorteringskravet har haft effekt på bostadsmarknaden. Bostadspriserna har fortsatt att öka men i en lägre takt i jämförelse med tidigare år, även skuldsättningens ökningstakt har sjunkit. Amorteringskravet anses endast vara en pedagogisk åtgärd för att införa amorteringsbeteendet hos hushållen snarare än en skuldnedsättande åtgärd. / The first of June 2016, an amortization requirement was introduced as a measure to halt the constantly growing household debt in Sweden. The high household debt has been widely discussed over the past few years which has led to the further discussion regarding whether the growing debt means a risk for the macroeconomic and financial stability. Banks and other actors active in the housing market have been both positive and skeptical of the amortization requirement as a measure to reduce the household dept. The actors argue that the consequences can be both positive and negative. The purpose of this essay is to study if and how the amortization requirement so far has affected the house prices and the debt for mortgage loans, and if it has been the ultimate measure to achieve a more stable economy. To achieve the purpose of the essay two research methods were used: qualitative method, interviews and literature studies, and quantitative method, based on statistics. Results suggest that the amortization requirement has had an impact on the housing market. Housing prices have continued to increase but at a slower pace in comparison with previous years, whilst the debt rate has fallen. The amortization requirement is considered more as an educational measure than a measure that reduces household depts. The conclusion drawn from the results is that the amortization requirement has fulfilled its purpose but whether this measure is the most optimal is hard to say.

1988年2月24日台北都會區大眾捷運系統（下稱台北捷運）開始動工，1996年3月28日首條營運路線木柵線通車，而捷運系統為台北都會區帶來了不止交通上的便利，更是為台北都會區的房屋市場帶動了一波價格的成長，與捷運車站鄰近程度更是成為了一般民眾買房重要的參考指標，而捷運優質購屋也成為了民眾炒作的題材。 台北捷運系統自1996年開通， 2013年11月24日起台北捷運信義線正式啟用，本研究以實價登錄資料做分析與比較，信義線捷運車站共8站，經中正區、大安區及信義區等3個行政區，此為台北市內經濟發展屬較為均衡地域且信義線距離差距較短居民對交通運輸需求較為一致，將可以避免區位效果差異性極殊可能產生的統計徧誤。 實證結果顯示出捷運車站可及程度差異對房價影響效果的不同，若交易不動產物件在距離捷運站250公尺內，其較距離捷運車站500公尺以上的房屋影響房屋單位價格為每平方公尺增加26.051萬元；若在距離捷運站250～500公尺內較距離捷運車站500公尺以上的房屋每平方公尺單位價格僅增加24.94萬元，我們可以看出因為可及程度的差異造成捷運車站影響程度有如水面漣漪一般向外擴散，愈往外影響效果愈小，因為與捷運車站的可及性程度愈低，因享受交通便利所帶來的溢價效果就愈小，反之距離捷運車站越近可及性所帶來的溢價效果越明顯。

國內有許多以不同資料、次市場劃分以及控制品質的方法編製房地產相關價格指數，提供不同的價格資訊，然而編製的過程可能產生偏誤，影響價格指數之準確性，導致房價指數變動與市場訊息不符，因此各種相關房價指數之市場代表性仍有待釐清。 本文首先觀察目前市場較常使用之信義房價指數(中古屋)及國泰房地產指數(預售屋及新成屋)，發現近年來信義房價指數無法適當反應房地產市場景氣繁榮的情形。此二房價指數領先落後的關係亦不符合相關理論及過去實證，因此認為此二房價指數長期趨勢受到編製資料及估計方法上的偏誤所影響。接著利用政府(房地產交易價格簡訊)及業者(台灣不動產成交行情公報)資料以特徵價格法重新建立台北市及台北縣中古屋房價指數，並與信義房價指數作比較，結果顯示本文建立之中古屋房價指數相對於信義房價指數較符合市場變動與相關訊息。最後，為求未來房地產資訊之應用，將過去相關房價指數研究成果與本文建立之房價指數整合，並驗證台北市國泰房地產指數領先整合中古屋房價指數一季，台北縣國泰房地產指數領先整合中古屋房價指數二季，顯示此台北都會區的中古屋及預售屋房價指數相互間的關係符合相關理論推導與過去實證結果。 / There are many real-estate related price indices established in various formation of datum, submarkets and modeling, providing different kinds of price information. But the process itself may be a victim of error, hence affecting the precision of price indices and cause discrepancy between price indices’ variation and correlative market information, therefore the representativeness of real-estate related price indices must be clarified. In this study, we observe the commonly used Sinyi Housing Price Index (existing housing) and Cathay Real-Estate Price Index(pre-sales and new housing), and discovered that Sinyi Housing Price Index is incapable of reflecting the recent boom in the real-estate market. The Granger Causality test result of these two housing price indices(HPI) is inconsequent to relevant theory and empirical studies, therefore attribute this to the error within the establishment of HPI. Then, we reestablish existing housing HPI of Taipei city and Taipei county by using government and enterprise organized data. In comparison to Sinyi Housing Price Index, our newly established HPI cohere with correlative market information. And last, for future application of real-estate market information, we integrate empirical studies in the past with ours and examine its lead-lag relation with Cathay Real-Estate Price Index. The Granger Causality test result corresponds to relevant theory and empirical studies, furthermore, we found that the time-gap between Cathay Real-Estate Price Index and the Integrated existing housing HPI in Taipei city is 1-season, and 2-season in Taipei county.

台灣各都會區因經濟與社會發展程度不同，使各都會區房地產市場特性有所差異，住宅價格波動情形亦有所不同。過去於台灣雖已有許多文獻探討過區域經濟與社會變數和區域住宅價格之關聯，卻少有文獻討論不同區域彼此間住宅價格差異與區域經濟與社會變數差異關係，且多數探討區域房地產市場文獻亦僅將研究範圍限縮在單一都會區，對於全國都會區之綜合性討論較為缺乏。是故，本文以台灣六大都會區為研究對象，探討各都會區彼此間住宅價格差異時間與空間變動情形，分析其與各都會區彼此間經濟與社會發展差異關係，進一步釐清當中之主要影響因素。 本研究使用台北市、新北市、桃竹都會區、台中都會區、台南都會區與高雄都會區等六大都會區由1993年至2010年共270筆住宅價格兩兩相除之比例資料，透過縱橫資料模型(Panel Data Model)探討國內六大都會區，兩兩間住宅價格比例變動於經濟與社會面的主要影響因素。實證顯示，當兩兩都會區經常性所得、知識密集服務業就業機會、公共投資、交通可及性、辦公室使用執照樓地板面積、治安狀況與空氣品質差異越大，住宅價格差異亦隨之擴張。且各都會區知識密集服務業就業機會、公共投資、交通可及性與經常性所得落差對住宅價格差異影響最大。此外，兩兩都會區住宅價格差異亦受到其地區特性與景氣影響。建議政府可透過於弱勢都會區發展適宜知識密集服務業發展之環境，吸引相關產業進駐，提供當地更多知識密集服務業就業機會，降低國內都會區所得落差。此外，應合理分配各都會區公共投資金額，強化弱勢都會區大眾運輸服務水準，以降低國內各都會區住宅價格懸殊情形。 / In Taiwan, because of the dissimilar levels of urban development, housing prices in different metropolitan areas change in sundry ways. This paper uses panel data analysis to identify the relationship between the development gap and the difference in housing prices in metropolitan areas of Taiwan during 1993-2010. The empirical results reveal that the income gap, the employment of knowledge-intensive services gap, the mobility gap, the public investment gap, the office quantity gap, the public security gap, and the air quality gap had significant effects on the difference in housing prices, and the difference in housing prices is also influenced by local characteristics and real estate cycles. Besides, we also discover that the employment of knowledge-intensive services gap and the public investment gap are two key determinants of the difference in housing prices.

在金融市場及經濟環境多變的情況下，貨幣政策之操作亦日漸重要。台灣央行自2000年起，為了刺激經濟發展不斷調降利率，實行寬鬆的貨幣政策；同期間台灣都會區之房地產價格亦開始不斷持續上漲。由於低利率即表房地產投資的低資金成本，也提供了有利的房地產投資環境，因此台灣寬鬆貨幣政策是否導致房價的高漲值得探討。文獻中關於利率與房價的相關研究甚多，然對於利率所隱含的政策意義及功能仍少有著墨，因此本研究利用共整合分析及因果關係檢定，並以Taylor’s Rule作為貨幣政策指標，檢視台灣1991-2010年間的貨幣政策與房價所存在之關係以及其鬆緊程度，俾了解貨幣政策在房地產價格中所扮演的角色。實證結果發現貨幣政策與房價間存在長期均衡之關係，且兩者會相互影響。接著利用Taylor’s Rule為指標發現台灣在2001-2005年之貨幣政策過度寬鬆，雖使得台灣房地產景氣自2003年開始復甦，但持續的低利率政策，則為導致台灣房價不斷攀升之原因。 / Taiwan’s Central Bank implemented loose monetary policy through reducing interest rate since 2000 to stimulate economy growth. In the mean time, housing prices rose rapidly since low interest rates encourage housing investment. We therefore hypothesize that the loose monetary policy caused the surge of housing prices. Previous studies have discussed the relationship between interest rates and housing prices, they usually ignored the rationale behind the interest rate. This paper employs the Johnson cointegration test, Granger causality test and Taylor’s Rule as a benchmark to examine the monetary policy from 1991 to 2010 in Taiwan. We found the existence of two-way, long-term relationship between the monetary policy and the housing price. Results also show that there exists excessively loose monetary policy from 2001 to 2005 using Taylor’s Rule as the benchmark. The loose monetary policy caused the housing price to rise from 2003, and the persisting lower interest rates led the surge of housing prices.

近年來，公部門或私部門多有土地價值評估之需要，現今土地交易課稅稅基與私部門投資抵押評估上，多未考量土地與建物個別因素應相互影響價值之因素，導致已開發土地價值評估產生偏誤，故如何合理自房地價格中分離已開發土地價值，是現行土地評價之重要課題。在房地價格分離之相關研究中，如何精準區分土地和建物價值影響因素為其關鍵的基石，而不同房地價格分離方法間差異，亦為本研究探討之議題。 本研究利用特徵價格模型分析方法，以臺北市區分所有建物之住宅交易案例為研究對象，建立複迴歸模型以分離房地價格。實證結果指出臺北市房地價格隨屋齡增加，呈現先遞減後遞增之變化，驗證高屋齡下土地再開發價值之存在，並發現各屋齡分層間土地移轉面積、管理維護對房地價格影響程度不同，藉以有效區分屋齡對土地與建物價值之影響；而現行實務上常見之土地抽取法，在分離房地價格上恐有高估已開發土地價值，以及放大價值漲幅與縮小價值跌幅之問題，顯示其建物成本價值評估過於僵固，將產生偏誤，使建物價值無法有效隨市場景氣變動。此外，透過分量迴歸模型檢驗，其結果顯示已開發土地價值與高屋齡效果間呈現正向關係，亦指價值愈高，其土地再開發價值影響愈顯著。最後，本研究統整相關實證結果，釐清現行房地價格分離上之問題，盼能改善與提升土地價值之評估能力與精準度。 / In recent years, land value assessments have been needed for different purpose. The current assessing of land transaction taxable base and mortgage demands does not consider the individual factors of lands and structures should affect the value of each other, resulting in the developed land value assessment has generated errors. Therefore, how to decompose housing price reasonably and analyze the developed land value is important for land value assessments. 　　This study establishes multiple regression model by selecting residential condominium sale data in Taipei City as sample, in order to decompose the housing price into developed land and structure value. The empirical results show that the reversion of housing price is due to the redevelopment value, and land area and level of maintenance have impact on housing price in different age variables. Besides, we also find that it has a positive relationship between developed land value and redevelopment value effect on price, and land extraction method probably has some problems in overestimation of developed land value, resulting in miscounting of land price fluctuation. According to the aforementioned, this study concludes with some issues of decomposition housing price for improving and enhancing the accuracy of land value assessments.