摘要
本文在研究国内外研究现状的基础上采集1999—2017年省级面板数据,构建静态和动态面板模型,用总样本和区域样本数据实证检验了货币供给量变动以及其他因素对房地产价格的影响。结果表明:货币供给量、前期房地产价格、城镇居民可支配收入、城镇人口数量等因素,对房地产价格产生正向影响且均显著,实际利率对房地产价格负向影响显著。其中,房地产价格的滞后项对房地产价格的影响最大,其次是城镇居民可支配收入和货币供应量,城镇人口数量对房地产价格正向影响较小。分区域分析房地产价格影响发现,不同区域存在着较大差异。
This paper constructs the static and dynamic panel model by using the collected provincial panel data from 1999 to 2017 to verify the impacts on residential prices by the changes of money supply and real interest rates'with 'the total and regional sample data.The result of the demonstration shows in the short term,The adjustment of the money supply to the national and four regional housing prices has significant impact on all regions,and the higher the regional income ratio,the greater the adjustment effect.It shows that Money supply plays a positive role in adjusting the irrational rise of housing prices.
出处
《价格理论与实践》
CSSCI
北大核心
2018年第5期55-58,共4页
Price:Theory & Practice
基金
国家社会科学基金:符合中国国情的住房保障和供应体系研究(14BJY060)课题研究阶段成果
