This paper studies the effects of four kinds of real estate regulation policies, including home buying restrictions (HBR), home loaning restrictions (HLR), home price restrictions (HPR) and home saled restrictions (HSR), on housing prices in 29 large cities in China from February 2016 to May 2018. The policy intensity index was constructed by policy scoring method, and a fixed effect panel model was constructed. The effect of policy regulation was analyzed by focusing on the first-tier and second-tier cities of different sizes, and the effect of policy regulation was analyzed by transmission theory. The results show that the HBR and HLR can play a regulatory effect on the first-tier and second-tier cities. The HPR and HSR have certain regulation effect on the first-tier cities, but the effect on the second-tier cities is not obvious. This paper argues that government should persist in carrying out the HBR, and release policy according to the city, accurately grasp the law of the timeliness of the policy.

研究限购、限贷、限价和限售等4项房地产调控政策对我国29个大城市2016年2月—2018年5月商品住房价格的调控效果。采用政策打分法建立政策强度指标, 构建固定效应面板模型, 聚焦一线、二线两类不同规模的城市, 分析政策的调控效果, 通过传导机制分析政策的调控效应。研究结果表明, 限购政策与限贷政策对两类城市可起到较好的调控效果, 限价政策和限售政策对一线城市具有一定的调控效果, 对二线城市效果不明显。因此, 应坚持推行限购政策, 并“因城施策”, 准确地把握政策时效性规律。