The Biggest Myth in Spatial Econometrics

The Biggest Myth in Spatial Econometrics

There is near universal agreement that estimates and inferences from spatial regression models are sensitive to particular specifications used for the spatial weight structure in these models. We find little theoretical basis for this commonly held belief, if estimates and inferences are based on the true partial derivatives for a well-specified spatial regression model. We conclude that this m...

Spatial Econometrics using MATLAB

Toolboxes are the name given by the MathWorks to related sets of MATLAB functions aimed at solving a particular class of problems. Toolboxes of functions useful in signal processing, optimization, statistics, finance and a host of other areas are available from the MathWorks as add-ons to the standard MATLAB software distribution. I use the term Spatial Econometrics Toolbox to refer to my publi...

Spatial Externalities, Spatial Multipliers and Spatial Econometrics

This paper outlines a taxonomy of spatial econometric model specifications that incorporate spatial externalities in various ways. The point of departure is a reduced form in which local or global spillovers are expressed as spatial multipliers. From this, a range of familiar and less familiar specifications is derived for the structural form of a spatial regression.

The Study of Determinants of Rent Housing in Ilam City Based on Hedonic Spatial Econometrics

Abstract: Housing unit is heterogeneous and multidimensional commodity; therefore, to determine effective factors on rent, hedonic pricing model is used. To explain the factors, four properties are used for housing, which are physical variables of residential units, access variables, environmental variables (neighborhood), and economic and social characteristics. The variables related to the sp...

The Theory and Practice of Spatial Econometrics