Research on Real Estate Batch Evaluation Based on Spatial Econometric Model
A Case Study of Second-hand Housing Listing Prices in Yuzhong District, Chongqing
DOI:
https://doi.org/10.54097/s6kezg45Keywords:
Real estate batch evaluation; traditional feature price model; spatial error model; spatial lag model.Abstract
This article studies the real estate batch evaluation model in Yuzhong District, Chongqing City. By analyzing 350 real second-hand housing listing data in October 2023 as sample data, a feature price model is established and a spatial econometric model is constructed based on the regression results to seek the most suitable model for batch evaluation of second-hand housing in Yuzhong District, Chongqing City. The results show that there is a significant spatial correlation between sample data, and both the spatial error model and spatial lag model in the spatial econometric model have improved the evaluation results of the traditional feature price model. However, the spatial lag model has the best performance in all indicators. Applying the spatial econometric model to real estate batch evaluation can improve the accuracy and fairness of the evaluation results.
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References
Cui, S. J. (2023). Research on batch evaluation of commercial real estate based on GIS correction. Chongqing University of Technology.
Liu, C. X. (2019). Research on batch evaluation of commercial real estate prices based on internet data. Chongqing University.
Liu, Y. (2021). Application of spatial econometric models in batch evaluation of urban second-hand houses. China Management Informatization, 24(17), 16-17.
Luo, T. T. (2021). Research on the application of spatial econometric models in bulk evaluation of real estate. Yunnan University of Finance and Economics.
Han, J. (2023). Application research of spatial feature price model in batch evaluation of second-hand house values in Nanjing City. Harbin University of Commerce.
Zhang, L. Y. (2019). Research on real estate bulk valuation based on spatial feature method. Jiangxi University of Finance and Economics.
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