Housing sale price prediction has been extensively studied under semiparametric regression models. However, semiparametric kernel machines with spatial effect term have not been studied yet. This paper proposes semiparametric spatial effect kernel minimum squared error model (SSEKMSEM) and least squares support vector machine (SSELS-SVM) for estimating a hedonic price function and compares the ...

Abstract Livestock Mandatory Price reporting, enacted to increase market transparency, has been in place for more than 20 years. However, immense structural change cattle and beef markets challenged information over that time. Large variation present transaction prices, especially those the Formula purchases category, on any given day made traditionally United States Department of Agriculture (...

We show that a strong linear relationship exists between income and house price quantiles in Sydney (Australia), Houston, and the state of Texas. This suggests that the house price distribution is closely approximated by the income distribution after a location-scale transformation. The slope of the line changes over time in response to changes in the mortgage market. We argue that this finding...