Real estate markets in emerging economies are beset with price opacity, low transaction volumes and perverse incentives on tax evasion, leading to acute shortage of reliable price information. In this paper, we overcome the paucity of reliable price information in emerging markets through a...

This paper develops a method to identify three-dimensional anisotropic spatiotemporal autocorrelation with an application to real estate markets. A large literature modeling spatiotemporal autocorrelation in house prices assumes that the spatiotemporal dependence structure is isotropic: a...

An innovative and simple experiment with cross-section data ordering is carried out to exploit a basic feature between many economic variables – nonlinear scale dependence. The experiment is tried on hedonic price models using two data sets: automobiles and computers. Our key findings are: (a)...

The authors use a data set of over 20,000 residential housing sales in 2010 and 2011 in San Diego County to measure the school proximity effects on nearby residential housing. Prior research supports the existence of a "school proximity premium" for housing located near K-12 schools. However,...