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Demographic Changes, Demand, Supply, Regression and Progression of Property - Essay Example

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The paper "Demographic Changes, Demand, Supply, Regression and Progression of Property" states that a model in econometrics is any statistical model that shows a relationship between the variables or rather the quantities that pertains to a specific economic phenomenon that is under investigation…
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Demographic Changes, Demand, Supply, Regression and Progression of Property
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Extract of sample "Demographic Changes, Demand, Supply, Regression and Progression of Property"

My econometric model is:
House Price = Demographic changes + Demand + Supply + Progression + Regression.
Demographic changes are crucial determinants of price in real estate; whether positive or negative transformations. For instance, when a property undergoes growth, the price of houses goes up. On the other hand, when a property undergoes decay, the price of houses goes down. Thus, these circumstances will affect the general value of houses severely.

Demand for houses is a vital aspect of the model. In situations when the demand for houses exceeds the available houses in the market, the price of houses increases as people's willingness to purchase also increases. As the demand for houses reduces, the price of houses also reduces since people will not have the will to purchase.

The supply of houses has always surpassed its demand. For instance, when the supply of houses increases, the price of houses goes down since the property owners will need to offload the houses in their possession. Thus, an increase in supply will create or rather offer opportunities for potential buyers in the real estate market.

The regression principle in real estate refers to a high-value property, in a location of a low-value property, being affected by the lower price of houses in the neighborhood. The real values of such houses are not always achieved.

On the other hand, the progression principle refers to the increase in the general value of a low-value house which is located among the houses of higher value. Thus, low-value houses are always priced relatively higher than their real prices.

Therefore, the econometric model: House price= Demographic changes + Demand + Supply + Progression + Regression, is a statistical model. The dependent variable (House Price) on the left-hand side is fully determined by the independent variables (Demographic changes, Demand, Supply, Progression, and Regression) on the right-hand side. The independent variables are the factors that determine the value of houses in real estate. Read More
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