Introduction to spatial econometrics. Knowledge of most important methods and their application in economics, social systems, urban planning and natural sciences. Understanding how to build models by means of topographical distance matrices, and how to evaluate the spatial diffusion of the processes under consideration. Discussion of prominent examples in the field of property price formation by means of real estate data from Vienna and Paris.

Spatial models, estimation: models of the type SAR, SDM, SEM and Probit (Limited dependent). Construction of distance matrices and formulation of the Maximum-Likelihood estimator by means of distance matrix and additional explanatory characteristics. Statistical Tests, problems of scaling and weighting, Monte-Carlo experiments.

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Basic knowledge of econometrics recommended