近年来，为了应对房价过快上涨，我国政府频繁出台各类宏观经济政策对房地产市场进行调控，由此带来的经济政策不确定性不断冲击着我国房地产市场。因此，明确我国经济政策不确定性对房价的影响，具有较大的理论和现实意义。基于此，利用2006年1月至2021年3月长江经济带及其三大城市群25个城市的数据，对我国经济政策不确定性与房价的互动关系进行实证分析，其结论是：面板协整检验表明，经济政策不确定性与新房价格和二手房价格均存在长期协整关系；面板格兰杰因果检验显示，较之二手房价格，经济政策不确定性与新房价格的因果关系更为显著；尽管面板向量自回归模型显示经济政策不确定性对房价波动没有直接的显著影响，但条件收敛结果表明其对新房和二手房价格的收敛性均有显著的促进作用。因此，政府应重视经济政策变动对房地产市场的影响，在合理预期内“因地制宜，因城施策”，针对新房和二手房市场制定差别化的调控政策；同时，可利用经济政策不确定性的溢出效应对区域房价进行系统性调控，从而实现房地产市场的区域协同发展。

In recent years, in order to dampen the excessive rise of housing prices in China, governments have frequently implemented a series of macroeconomic policies to adjust the housing market. To some extent, house prices in urban China have been shocked by economic policy uncertainty （EPU）. By using the data of 25 big cities in Yangtze River Economic Belt and three urban agglomerations from January 2006 to March 2021, we find that there is a long-term integration between EPU and housing prices through panel integration test. Panel Granger causality test shows that, compared with second-hand housing price, EPU has more significant causality impact on new housing price. PVAR model indicates EPU has no direct significant effect on housing prices, however, the conditional β convergence analysis shows EPU has significantly accelerated the convergence of new housing price and second-hand housing price. Therefore, government should pay attention to the different effects of EPU on the new-built and second-hand housing markets, and implement city-specific policies based on reasonable expectations. Meanwhile, governments can systematically adjust the housing market by taking advantage of the spillover effect of economic policies to achieve the synergetic development of regional housing market.