Master
2024/2025
Spatial Econometrics
Type:
Elective course (Data Analytics for Business and Economics)
Area of studies:
Economics
Delivered by:
Department of Economics
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Skorobogatov
Master’s programme:
Data Analytics for Business and Economics
Language:
English
ECTS credits:
3
Course Syllabus
Abstract
Over past decades, economic models have been gradually incorporating the existence of spatial relationships between regions, firms, individuals, etc. “Spatial econometrics” course includes techniques and methods to model spatial data taking into account interaction (spatial spillover) effects and spatial heterogeneity. Spatial econometrics is an active and fast-growing area of research, spurred by the increasing availability of spatial data, i.e. geo-referenced data. These techniques, many of which are still in their early development, use different analytic approaches and are applied in different fields of economics.