ESCASSEZ DE DADOS E AVALIAÇÃO DE IMÓVEIS EM PEQUENAS CIDADES: ESTRATÉGIAS PARA PRECISÃO

Abstract

Property valuation in small towns involves determining the fair value of a property in less densely populated urban areas. This process is crucial for various purposes, including purchase, sale, financing, taxation, and insurance. In small towns, valuation often relies on criteria such as location, land size, construction quality, age, condition, and unique property features. Moreover, market analysis plays a key role in determining value, considering recent transactions in the area. It is important to rely on the expertise of a professional appraiser to conduct an accurate and reliable valuation in small towns, as market dynamics can vary significantly compared to larger urban areas. Although data scarcity poses problems, various authors argue that traditional valuation methods also have deficiencies. Finally, some articles examine the limitations of available data, proposing a Bayesian approach to merge different types of data, such as expert knowledge, offers, and transactions, to enhance valuations when transactions are scarce. In summary, although data scarcity and limitations present challenges for valuations in small towns and commercial properties, technological solutions like machine learning, automated valuation models, and the fusion of various data types prove promising for significantly improving accuracy and overcoming these challenges.