Linear Regression Model of House Price in Boston

An Extrapolative Model of House Price Dynamics∗

A model in which homebuyers make a modest approximation leads house prices to display three features present in the data but usually missing from perfectly rational models: momentum at one-year horizons, mean reversion at five-year horizons, and excess longer-term volatility relative to fundamentals. Valuing a house involves forecasting the current and future demand to live in the surrounding a...

Stein Type Estimators for Disturbance Variance in Linear Regression Model

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ESTIMATING THE PARAMETERS OF A FUZZY LINEAR REGRESSION MODEL

Fuzzy linear regression models are used to obtain an appropriate linear relation between a dependent variable and several independent variables in a fuzzy environment. Several methods for evaluating fuzzy coefficients in linear regression models have been proposed. The first attempts at estimating the parameters of a fuzzy regression model used mathematical programming methods. In this the...

Comparing The ANN And Linear Regression In Estimation Of The Growth Model (The Case Of MENA)

Understanding House-Price Dynamics

*The views expressed here are those of the author and do not necessarily represent the views of the Federal Reserve Bank of Philadelphia or the Federal Reserve System. or most homeowners, housing is the single most important component of their nonpension wealth. Therefore, a change in house prices greatly affects the total wealth of many households. Furthermore, movements in house prices can af...