本文選題：房價指數(shù) + 特征價格法��； 參考：《武漢金融》2017年06期

【摘要】：我國新建商品房價格指數(shù)的準確與否關乎房地產(chǎn)調(diào)控政策的效果檢驗、風險與泡沫程度的測量以及金融經(jīng)濟政策的制定,但目前我國的房價指數(shù)存在理論基礎缺乏、發(fā)布的指數(shù)與房地產(chǎn)市場不相吻合等問題。本文首先深入分析了我國新建商品房價格指數(shù)編制方法存在的主要問題,提出我國新建商品房價格指數(shù)編制方法應滿足的3個要求,其次建立房價指數(shù)的半線性混合效應模型,并基于同一上下樓集合的房屋匹配,重點構建了同質(zhì)可比的房價指數(shù)編制模型與迭代計算方法。本文所建立的模型回避了特征價格法需要采集眾多特征變量數(shù)據(jù)的問題,所給計算方法可剔除原始價格異常數(shù)據(jù)所產(chǎn)生的匹配對誤差,并可剔除匹配過程所產(chǎn)生的新誤差。最終基于襄陽市的商業(yè)銀行貸款數(shù)據(jù)進行實際計算和結果分析。本文的模型具有理論上的科學性、采樣上的方便性和計算上的簡單性,達到了第3代房價指數(shù)的要求。
[Abstract]:The accuracy of the price index of newly built commercial housing in our country is related to the effect test of real estate regulation and control policy, the measurement of risk and bubble degree, and the formulation of financial and economic policy. But at present, there is a lack of theoretical basis for housing price index in our country. The published index and the real estate market does not coincide with such issues. This paper first analyzes the main problems in the method of compiling the price index of newly built commercial housing in China, and puts forward three requirements which should be satisfied by the method of compiling the price index of newly built commercial housing in our country. Secondly, the semi-linear mixed effect model of the price index of the house price is established. Based on the matching of the upper and lower buildings, a homogenous and comparable housing price index compilation model and iterative calculation method are constructed. The model established in this paper avoids the problem that the characteristic price method needs to collect a large number of characteristic variable data. The proposed method can eliminate the matching error caused by the original abnormal price data and the new error caused by the matching process. Finally, based on Xiangyang commercial bank loan data, the actual calculation and result analysis. The model in this paper is scientific in theory, convenient in sampling and simple in calculation, which meets the requirements of the third generation house price index.
【作者單位】： 武漢理工大學;
【分類號】：F299.23

【參考文獻】

相關期刊論文 前6條

1 先倚懿;金升平;;混合效應模型在新建住宅房價指數(shù)中的應用[J];統(tǒng)計與決策;2016年15期

2 中國人民銀行武漢分行課題組;劉小二;;類重復交易法編制住房價格指數(shù)的方法研究——基于銀行按揭數(shù)據(jù)的湖北實踐[J];金融發(fā)展評論;2014年05期

3 鄭思齊;孔鵬;郭曉e，

本文編號：1921976