An accurate assessment of the property value is very important to make a deal, property tax, and mortgage for loan. The mass appraisal system has been developed in some foreign countries, especially in American for a ...An accurate assessment of the property value is very important to make a deal, property tax, and mortgage for loan. The mass appraisal system has been developed in some foreign countries, especially in American for a long time. In Taiwan, we still have few experiences in using computer-assisted mass appraisal system, especially using artificial neural network （ANN）. This article has two objectives： （1） to illustrate application of ANN to the Kaohsiung property market by the method of back-propagation. The study is based on the properties data of sales price, we also use multiple regressions in the same data; （2） to evaluate the performance of two models by using the mean absolute percentage error （MAPE） and hit ratio （HR）. This paper finds that using artificial neural network （ANN） is able to overcome multiple regressions＇ methodological problems and also get better performance than multiple regression model （MRA）. These results are useful in helping local government to assess their assessment value.展开更多
The purpose of this study is to explore the need to adopt the CAMA （computer assisted mass appraisal） based system into the Nigerian property market with an example data from Nasarawa in Nasarawa State. Using the ...The purpose of this study is to explore the need to adopt the CAMA （computer assisted mass appraisal） based system into the Nigerian property market with an example data from Nasarawa in Nasarawa State. Using the hedonic regression models on 312 samples, the results reveal the linear form to outperform the semi-log specification. This demonstration shows that CAMA system can be introduced into the local market of Nasarawa and indeed the whole of Nigeria for property taxes.展开更多
文摘An accurate assessment of the property value is very important to make a deal, property tax, and mortgage for loan. The mass appraisal system has been developed in some foreign countries, especially in American for a long time. In Taiwan, we still have few experiences in using computer-assisted mass appraisal system, especially using artificial neural network （ANN）. This article has two objectives： （1） to illustrate application of ANN to the Kaohsiung property market by the method of back-propagation. The study is based on the properties data of sales price, we also use multiple regressions in the same data; （2） to evaluate the performance of two models by using the mean absolute percentage error （MAPE） and hit ratio （HR）. This paper finds that using artificial neural network （ANN） is able to overcome multiple regressions＇ methodological problems and also get better performance than multiple regression model （MRA）. These results are useful in helping local government to assess their assessment value.
文摘The purpose of this study is to explore the need to adopt the CAMA （computer assisted mass appraisal） based system into the Nigerian property market with an example data from Nasarawa in Nasarawa State. Using the hedonic regression models on 312 samples, the results reveal the linear form to outperform the semi-log specification. This demonstration shows that CAMA system can be introduced into the local market of Nasarawa and indeed the whole of Nigeria for property taxes.
