Examples Of Hedonic Pricing Models

John DeRight & Judy DeRight both members of the long standing DeRight family based in Arlington, Virginia are looking to diversify their portfolio of investments and are contemplating investing in real estate to achieve their investment goal. Both are in a different stages of their life and are considering one of the four real

There was decline during the recession of the early 1990s, with the price of homes. The average price of homes in the United States remained somewhat stable until June 1997, then began to decline. The Case-Shiller Home Price index almost tripled from 79.91 in June 1997 to 226.38 in March 2006. The National Association of Realtors home affordability index, which relates the medium price of single family homes to the medium family income, fell below the line in the beginning of the first quarter of 2004, and reversed its in the second quarter of 2006.

The real estate division was estimated to have a fair value of $13,890,000. This was determined by totaling the number of lots expected to sell within the next four years and multiplying it by the price per lot of $180,000. After determining total lot sales, a 20% discount rate was applied as suggested by current market conditions. Given the unique nature of the real estate development, it is not believed that there are any comparable developments to find a market multiple.

The business literature involving human capital shows that education influences an individual’s annual income. Combined, these may influence family size. With this in mind, what should the real estate builder be particularly concerned with when analyzing the multiple regression model?

Macroeconomics is an excellent tool for the analysis of the housing industry as something like a capital good, as a home is considered to be, cannot easily be studied in a short-term platform. Real estate is a good that costs several times more than an average persons annual income, in the United States that number is typically 7 times as much, and in the United Kingdom that number is 14 times as much. Several factors of both supply and demand directly impact the housing market on a macroeconomic scale. (Business Economics, 1)

Real Estate provides individuals with a source of investment for his or her future. Owning a piece of real estate could be a business investment, or in the case of this research, a home for an individual or a family. When a person purchases a home there are many things to consider. The most common information to review is square footage, price, amount of bedrooms, bathrooms, and whether the house has a garage. Validating this information versus other statistical review is very important. The buyer must have the necessary information to make the best decision. The data needs to have the widest range of necessary

Using initial rates also allows one to examine the effects of choice on property values

This case involves an investigation of the factors that affect the sale price of Oceanside condominium units. It represents an extension of an analysis of the same data by Herman Kelting (1979). Although condo sale prices have increased dramatically over the past 20 years, the relationship between these factors and sale price remain about the same. Consequently, the data provide valuable insight into today’s condominium sales market.

This case investigates the factors that are affecting the sale price of Oceanside condominium units. The relationship between these factors and sale price has remained the same despite condo sale prices increasing drastically over the past 20 years.

as well as the mechanics of commercial real estate leasing. The asset types we will consider

The overall health of the economy has a significant impact on the real estate industry. The economy is measured using indicators such as the GDP, employment percentages, manufacturing activity, and price of goods. When these indicators identify a sluggish economy it translate directly to declining real estate sales. RE/MAX and the customer alike are directly affected by the economy. A slow economy consists of decreased homes sales while a flourishing economy affords the customer the opportunity to buy, which relates to an increase in home sales for the realtor. (Amadeo, 2016)

Automated valuation models (AVM) according to the RICS AVM Standards working group are systems that use one or more mathematical techniques to provide an estimate of the value of a specified property at a specified date, accompanied by a measure of confidence in the accuracy of the result, without human intervention post-initiation. They combine property sales data, property attributes data as well as local market information (RICS 2013, Corelogic (n.d)); these form the variables that are fed into the model. Models typically comprise one dependent variable which is the estimated property value and several independent variables (property attributes data) which take turns in explaining the dependent variable (RICS, 2013). AVMs vary depending on the modelling technique adopted, the methodology and independent variables adopted. Choice is solely down to the provider’s specification (RICS, 2013). Examples of the different models include; multiple regression model, indexation, sales comparison models and automated comparable selection and artificial neural networks. AVMs have been around for a while. However, market acceptance has been slow, tentative and somewhat phased.

In this report, the question “How much of the changes in the median selling price of homes in a city can be explained by the changes in median income of that city?” is answered. Home ownership is an important aspect of one’s life stages, and home prices are determined by demand and supply. The demand curve is affected by the one’s income, such that as one’s income increases, one is more willing to pay a higher price for the same quantity of goods (Baye & Prince, 2014). However, there are many other factors that might affect the demand curve, e.g. no. of children, in the household, the perceived quality of education in the school district, or the number of job positions (filled or open) around the city. According to Burda

A difficult characteristic to understand about the housing market is how a price is given for a particular house. That price will be designated to that particular house alone. All houses have various pricing, so I can’t always assume that one will cost more or less than any other. The pricing for houses vary based on their characteristics. Each characteristic must be analyzed to determine its contribution or detraction toward the price. I have taken some of these characteristics and modeled the relationship between them and the price of real estate for a specific area.

Quite often, consumers purchase goods and services based on their perceived need. Upon making the decision that a need is present and a solution is available consumers are more equipped to react to that need. Although previously perceived that consumers will normally accept prices as presented by suppliers that remains to not be the case. Consumers assess and process prices based on past purchases and other psychological process they went through previously such as persuasive marketing strategies, accessibility of the goods or services and possibly information gathered from prior purchasers of a product. There are countless options that are available to consumers. Consumers are then faced with the choice of choosing the product that best fulfills their need at that given point. Consumers who are knowledgeable regarding prices will be aware of the approximated price for products (Zhao, Zhao & Deng, 2015).