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研究生:廖紹宇
研究生(外文):Shao-Yu Liao
論文名稱:學校品質對不同住宅價格之影響分析
指導教授:彭蒂菁
指導教授(外文):Ti-Ching Peng
學位類別:碩士
校院名稱:國立東華大學
系所名稱:經濟學系
學門:社會及行為科學學門
學類:經濟學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
論文頁數:44
中文關鍵詞:房價教育品質生師比兼任教師分量迴歸
外文關鍵詞:House priceEducation qualityPupil-teacher ratioPart-time teacherQuantile regression
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在此競爭激烈的社會,學歷雖不足以代表一切,但若沒有經過後天的教育學習,較易遭到快速變遷的環境淘汰。所謂「少壯不努力,老大徒傷悲」,一句耳熟能詳的古代俗諺,說明了教育的重要性。因此,家長無不希望自己的孩子享有更高的教育品質,方能在未來出人頭地。
國內、外研究教育品質與房價間關係的文獻眾多,大多數採取最小平方法(ordinary least square regression) (OLS)進行估計,然而此方法僅能看出教育品質對「平均」房價的影響力。有鑑於此,本文除了使用此方法外,進一步考量分量迴歸(quantile regression) (QR),以判斷教育品質對「各個分量」房價的影響程度。
本研究資料為內政部地政司的台北市和新北市不動產實價登錄資料(2013-14年),以及教育部統計處的資料(2012年)。在此資料下,還未開始實施十二年國教,高中並非依戶籍地劃分,不過可能由於投資的心態,或是當十二年國教的消息出現時,家長們會有提前卡位就近購屋的現象。另外,明星高中往往也位於明星中學區,像是師大附中,若國中即就讀該國中,直升高中的機率也較大,種種因素也造成明星高中附近房價較高(陳景婷, 2012)。在控制住宅本身變數和鄰里變數下,本文以高中的生師比作為教育品質的衡量。值得注意的是,近年少子化趨勢,許多學校聘任兼任教師,以因應財務壓力,因此本研究將生師比分兩類:「生師比1」及「生師比2」,差別在於生師比2在專任教師外,又多考慮了兼任教師的因素。迴歸結果顯示出,在最小平方法下,「生師比1」會使房價平均下降0.1%,而「生師比2」會使房價平均減少0.47%。在分量迴歸下,可以發現「生師比1」只有在Q50至Q90的分量下有負向顯著性,會使房價下跌,而「生師比2」在各個分量下,皆對房價產生負面的影響。由此可見,兼任教師流入教育體系所產生的隱憂,亦可見分量迴歸的優點。
Although the educational background isn’t enough to represent all, people who haven’t had good education would be out of step with this competitive society. Because of the importance of education, most parents hope their children can have higher education quality to succeed.
A lot of studies focus on the relationship between education quality & house price. Most of the researches use the ordinary least square regression (OLS) to estimate. However, the OLS can only estimate the impact of education quality on average house prices. Therefore, besides the OLS, this study further considers the quantile regression (QR) to estimate the influence of education quality on every quantile of house prices.
The data are the real estate transaction website of Department of Land Administration, the Ministry of the Interior (2013 to 2014) and the Ministry of Education and Statistics Department (2012). There didn’t carry out twelve year compulsory education in this data. However, when the news appeared, many parents started to buy house which neared one of the top schools. This situation make house prices go up. Under the control of other variables, this study uses the pupil-teacher ratio to measure education quality. It's worth noting that, due to the low birth rate trend, many schools now prefer to hire part-time teachers to slow down the financial pressure. Therefore, the pupil-teacher ratio is categorized into “pupil-teacher ratio 1” and “pupil-teacher ratio 2” in this study. The difference between them is that “pupil-teacher ratio 2” further considers part-time teachers. The empirical results show that the “pupil-teacher ratio 1” makes house prices average fell by 0.1%, and the “pupil-teacher ratio 2” makes house prices average fell by 0.47% in the OLS. On the other hand, the “pupil-teacher ratio 1” only makes house prices fell in Q50 to Q90, and the “pupil-teacher ratio 2” makes house prices fell in all of the quantiles in the QR. This shows that part-time teachers cause big problems in the education system.
1. 緒論 1
1.1 研究動機 1
1.2 研究目的 1
1.3 研究範圍及方法 2
1.4 研究流程 2
2. 文獻回顧 5
2.1 影響房地產的因素 5
2.2 國內外研究的異同 11
2.3 本研究與上述研究的差異 12
3.實證模型及相關變數 15
3.1 資料說明 15
3.2 變數選取 16
3.3 基本統計性質 21
3.4 分量迴歸 23
4. 實證結果與比較 25
4.1 生師比1:最小平方法模型 25
4.2 生師比1:分量迴歸模型 27
4.3生師比2:最小平方法模型 31
4.4生師比2:分量迴歸模型 33
5. 結論與建議 37
5.1 兼任教師對教學品質的影響 37
5.2 生師比1和生師比2對房價的影響 38
5.3 建議與研究限制 39
參考文獻 41
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