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The verdict in the NAR lawsuit has made it likely the real estate industry won’t be able to charge 5%-6% commission rates across the board, writes Stephen Brobeck.
Here’s how paying for a real estate agent to sell your home has long been done: A seller hands a percentage of the sale price to their broker, who then splits it with the broker who brought the ...
Real estate economics is the application of economic techniques to real estate markets. It aims to describe and predict economic patterns of supply and demand . The closely related field of housing economics is narrower in scope, concentrating on residential real estate markets, while the research on real estate trends focuses on the business ...
For decades, if you wanted a real estate agent to help you buy or sell a home, the model was static. At the close of escrow, the seller typically used their proceeds to pay a 5% to 6% commission ...
An AVM uses a combination of two or more types of evaluation, - but most commonly, a hedonic model and a repeat transaction index. The result of each model is given a Confidence Score and then weighted by that score, analyzed and then reported as a final estimate of value based on a specified date. An AVM typically includes:
Economic impact analyses usually employ one of two methods for determining impacts. The first is an input-output model (I/O model) for analyzing the regional economy. These models rely on inter-industry data to determine how effects in one industry will impact other sectors. In addition, I/O models also estimate the share of each industry's ...
Problem structuring methods (PSMs) are a group of techniques used to model or to map the nature or structure of a situation or state of affairs that some people want to change. [1] PSMs are usually used by a group of people in collaboration (rather than by a solitary individual) to create a consensus about, or at least to facilitate ...
In information science, profiling refers to the process of construction and application of user profiles generated by computerized data analysis.. This is the use of algorithms or other mathematical techniques that allow the discovery of patterns or correlations in large quantities of data, aggregated in databases.