A Study on Automated Valuation Model in Mass Appraisal System for Real Property Tax

Author(s):  
Rui Zhang ◽  
Weihua Chen
2013 ◽  
Vol 16 (3) ◽  
pp. 323-343
Author(s):  
Jian Chen ◽  
◽  
David H. Downs ◽  

This paper examines real property tax as a determinant of tenure choice. The analysis is conducted in two stages. First, parameter estimates for a reduced-form homeownership model are obtained through multivariate logistic regression on data drawn from the U.S. Survey of Income and Program Participation (SIPP). Second, data from the Chinese Household Income Project (CHIP) is used to obtain predicted homeownership for China by using the SIPP-based model. Actual and predicted values of homeownership in China are presented, and the marginal effect of property tax is computed. Overall, we find that tenure choice is significantly influenced by property tax, even after controlling for a wide range of supply and demand considerations. Furthermore, and in the case of China, we show that the negative impact of property tax on homeownership may be mitigated by corresponding ownership incentives (e.g., tax policy). To the best of our knowledge, this is the first paper to explicitly analyze property tax in this regard. Implications based on the empirical analysis are applicable to the evolution of property tax policy in China.


2021 ◽  
Vol 24 (2) ◽  
pp. 139-183
Author(s):  
Kristoffer B. Birkeland ◽  
◽  
Allan D. D’Silva ◽  
Roland Füss ◽  
Are Oust ◽  
...  

We develop an automated valuation model (AVM) for the residential real estate market by leveraging stacked generalization and a comparable market analysis. Specifically, we combine four novel ensemble learning methods with a repeat sales method and tailor the data selection for each value estimate. We calibrate and evaluate the model for the residential real estate market in Oslo by producing out-of-sample estimates for the value of 1,979 dwellings sold in the first quarter of 2018. Our novel approach of using stacked generalization achieves a median absolute percentage error of 5.4%, and more than 96% of the dwellings are estimated within 20% of their actual sales price. A comparison of the valuation accuracy of our AVM to that of the local estate agents in Oslo generally demonstrates its viability as a valuation tool. However, in stable market phases, the machine falls short of human capability.


2019 ◽  
Vol 11 (18) ◽  
pp. 4896 ◽  
Author(s):  
Morano ◽  
Rosato ◽  
Tajani ◽  
Manganelli ◽  
Liddo

The present research takes into account the current and widespread need for rational valuation methodologies, able to correctly interpret the available market data. An innovative automated valuation model has been simultaneously implemented to three Italian study samples, each one constituted by two-hundred residential units sold in the years 2016–2017. The ability to generate a “unique” functional form for the three different territorial contexts considered, in which the relationships between the influencing factors and the selling prices are specified by different multiplicative coefficients that appropriately represent the market phenomena of each case study analyzed, is the main contribution of the proposed methodology. The method can provide support for private operators in the assessment of the territorial investment conveniences and for the public entities in the decisional phases regarding future tax and urban planning policies.


2014 ◽  
Vol 8 (1) ◽  
pp. 37-42
Author(s):  
Ferenc Buzás ◽  
Sándor Kiss

Actualization of loan security (mortgage) value is of major importance in Hungarian loaning practice. Due to the recession in economics, the value of agricultural portfolio of banks has decreased a great deal, though not to such a great extent as other branches of the economy. Depreciation of estate stock is compensated with additional collateral security. Besides other stock, often temporarily and out of necessity, livestock is presented as additional collateral security. From the loaners’ point of view, however, the registered inventory value does not guarantee security. The authors have set up an appraisal method giving professional guidance through automated valuation as to how dairy stock can be used as mortgage for loan security. Hereby we are to present the details of both the theory and the methodology of a model that is appropriate for the valuation of dairy livestock on an MS Excel basis. Thus, the process is fast and has more prospects for all parties in the loaning or leasing business. The method involves the features of livestock technology, the expected realized profit, and breed stock value. By the implementation of this method, the loaners can calculate the value of loan recovery (loan to value) with acceptable security.


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