Regional scientists frequently work with regression relationships involving sample data that is spatial in nature. For example, hedonic house-price regressions relate selling prices of houses located at points in space to characteristics of the homes as well as neighborhood characteristics....

The paper sets up a nesting spatial regression model incorporating heteroskedastic shocks, and discusses hypothesis testing in both nested and nonnested cases in a quasi-likelihood framework, suggesting directions for future research effort.

In this paper we consider the problem of regression analysis of spatial data. Geographically Weighted Regression is applied for hedonic model for apartment prices in Saratov city

This paper concerns the joint modeling, estimation and testing for local and global spatial externalities. Spatial externalities have become in recent years a standard notion of economic research activities in relation to social interactions, spatial spillovers and dependence, etc., and have...

This paper concerns the joint modeling, estimation and testing for local and global spatial externalities. Spatial externalities have become in recent years a standard notion of economic research activities in relation to social interactions, spatial spillovers and dependence, etc., and have...