This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...

Cities and towns are loci of population and production. In 2010, 80.7 percent of the United States population resided in urban areas, and the U.S. Bureau of Economic Analysis reported that in 2011, 90.1 percent of GDP was produced in metropolitan statistical areas (MSAs), emphasizing that urban...

Spatial homogeneity is a strong assumption in the hedonic housing price context; if not analyzed conveniently it can be a potential source of specification errors. Spatial heterogeneity occurs when a territorial segmentation exists in the housing market and, therefore, either the hedonic prices...

This paper explores the pricing of heterogeneous goods in the presence of market segmentation. We use housing as an example. We extend the theoretical hedonic model of Rosen (1974) and show that, in the presence of market segmentation, the hedonic price line is no longer continuous or unique....

With the objective of evaluating the accuracy of price index models, we adopt a series of techniques to compares the performances of the hedonic, repeat sales, and hybrid models based on the data from the Chinese most representative painter, Qi Baishi during the period from 2000 to 2016. When...

Statistical methods are widely used for valuation (prediction of the value at sale or auction) of a unique object such as a work of art. The usual approach is estimation of a hedonic model for objects of a given class, such as paintings from a particular school or period, or in the context of...