Which model is primarily employed in the mass appraisal process?

The automated valuation model (AVM) is primarily employed in the mass appraisal process due to its ability to analyze vast amounts of property data quickly and efficiently. AVMs leverage algorithms and statistical techniques to estimate the value of properties based on various factors such as recent sales, property characteristics, and market trends.

In mass appraisal, where numerous properties need to be evaluated simultaneously—such as for property tax assessments or market analysis—using traditional methods like individual appraisals would be impractical and time-consuming. AVMs can process diverse data sources effectively, enabling them to provide reliable property valuations at scale.

The other options, while valuable in specific appraisal contexts, do not primarily cater to the mass appraisal process. For instance:

• The income model focuses on estimating value based on expected income generation from the property—more applicable to investment properties.

• The standard appraisal model may refer to various traditional appraisal techniques which are typically used for single-property appraisals.

• Paired data analysis is a method used to compare similar properties to determine value differences but is not efficient for mass appraisal scenarios.

Thus, the automated valuation model stands out as the most practical and effective choice for mass appraisal efforts.