本文關(guān)鍵詞： 房地產(chǎn) 價格指數(shù) 重復(fù)交易模型 葫蘆島　出處：《遼寧工程技術(shù)大學》2014年碩士論文　論文類型：學位論文

【摘要】：近年來,我國房地產(chǎn)速度發(fā)展過快,風險問題日益突出。用科學的辦法靈敏地反映出房屋市場價格的瞬息變化,給人們提供房地產(chǎn)市場變化的風向標的要求已十分迫切。房價指數(shù)是反映不同時期房屋市場價格水平的變化趨勢和程度的相對指標,即只反映由市場供求變化所引起的價格變化。我國在房價指數(shù)領(lǐng)域的研究起步較晚,編制方法多停留在平均值算法和簡單加權(quán)算法階段,這些算法忽略了房屋的異質(zhì)性,把所有的房屋都當做同質(zhì)性商品計算其平均價格,得出的價格指數(shù)是不夠科學嚴謹?shù)�。重�?fù)交易法時目前國際上計算房價指數(shù)的兩大主流方法之一,通過將研究對象限定為有過兩次以上交易的同一宗房產(chǎn),克服了房屋異質(zhì)性的問題,并利用計量模型剔除折舊、區(qū)位價值等因素變化帶來的影響,得出的房價指數(shù)更準確更科學。本文以葫蘆島市為例,在現(xiàn)有的房價指數(shù)存在的問題的基礎(chǔ)上,引入重復(fù)交易方法的理論,并結(jié)合葫蘆島市房地產(chǎn)市場的特點及其所具備的統(tǒng)計條件,提出了一種改進的房價指數(shù)編制方法,并對改進后的方法進行了實證模擬,得出了較好的結(jié)果。
[Abstract]:In recent years, with the rapid development of real estate in China, the risk problem is becoming more and more serious. The rapid change of housing market price is reflected by scientific methods. It is very urgent to provide the weather vane for the change of the real estate market. The house price index is the relative index which reflects the change trend and degree of the housing market price level in different periods. That is to say, it only reflects the price change caused by the change of market supply and demand. The research in the field of house price index in our country started late, and the compilation method mostly stayed in the phase of average value algorithm and simple weighted algorithm. These algorithms ignore the heterogeneity of housing and calculate the average price of all houses as homogeneous commodities. The price index is not scientific and rigorous. Duplicate trading law is currently one of the two major international methods to calculate house price index, by limiting the object of study to the same property with more than two transactions. Overcome the problem of housing heterogeneity, and use the econometric model to eliminate the depreciation, location value and other factors, the price index is more accurate and scientific. This paper takes Huludao as an example. On the basis of the existing problems of house price index, this paper introduces the theory of repeated trading method, and combines the characteristics of the real estate market in Huludao city and its statistical conditions. In this paper, an improved method of compiling house price index is put forward, and the improved method is simulated empirically, and good results are obtained.
【學位授予單位】：遼寧工程技術(shù)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F299.23

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