A Comparative Study Of Real Estate Tax In A Mass Appraisal Methods

As China’s real estate tax reform,the requirements of tax base assessment of property tax are also rising.At present,the core method of tax base evaluation is the mass appraisal method based on automated valuation(AVM)model.With the complexity of estimation model,the requirement of the real property data is becoming more and more demanding.However,China’s real estate database is still in the initial stage of establishment.Data information is not comprehensive enough to meet the application of the model.Aiming at the existing problems in the evaluation,this paper proposes an extensive application of particle swarm optimization(WCPSO)algorithm in small sample study in other fields to evaluate small scale real estate.The implementation of this algorithm depends on the intelligent optimization process of computer.By comparing with the traditional multiple regression(MRA)method,it will be helpful to improve the accuracy of the model evaluation and improve the economic interpretation.In order to compare the two methods mentioned above,this paper collects a total of 800 effective price data and housing characteristics data of Xiamen in 2015.K mean clustering method is used to divide the sample data into three categories:low grade,middle grade and high grade.Using MRA and WCPSO algorithm to estimate all the data samples and classification of three small data samples.Using evaluation ratio analysis index,evaluation fairness test model and RMSE,MAE,RRSE,RAE and other evaluation error metrics to compare the evaluation ability of two models in various real estate data.The results show that the application of the whole data evaluation case,MRA evaluation of the index data is slightly better,and the small real estate data evaluation case WCPSO algorithm evaluation effect is better.The results were consistent with expected.Therefore,(1)in response to large and heterogeneous real estate data,MRA method or more complex econometrics methods are suitable.But this requires the establishment of a comprehensive real estate database,before that using WCPSO algorithm or other AI-based method will be more efficient,accurate and reliable.(2)Unlike the single method use in previous,the comparison and combination of various evaluation methods will help to improve the evaluation results and promote the mass appraisal task.