This study used the 2000Q1 to 2010Q3 panel data of Taipei City, New Taipei City, and the Tao-Chu area in Taiwan to examine the stationary of the turnover ratio and the lead-lag relation of the turnover ratio and housing price. The fixed effect models showed that the turnover ratio can explain the 12.81 % of the next period price variance, and the model with lower AIC and SBC value than price-volume model. This signifies that the turnover ratio and price model are superior fits for the panel data. The results of the Fisher cointegration test showed that more than one cointegration relation exists in the proposed models. The results of the Granger causality test showed that a strong interaction exists between Taipei City and New Taipei City, which the (t-1) period turnover ratio led the t period price variance. But only the price variance in New Taipei City increased in conjunction with the price variance in the Tao-Chu area.