CS 401: Spatial Econometrics

Number of Sections: 1 | Day and Time: T & TH (11:40-13:20 ICT)

Course Description

This course explores the theoretical foundations, methods, techniques, and software systems for spatial econometrics. The course aims to provide students with the knowledge and skills necessary to investigate socioeconomic problems, with the consideration of the effects of spatial dependence and spatial heterogeneity. Essential concepts of spatial econometrics are presented, including the fundamental spatial concepts and the core components of spatial regression models for both cross-sectional and panel (time series) data. The latest research in a variety of topics using spatial econometric models is also examined. Students will gain an in-depth understanding and hands-on experience to explore a variety of applications through a combination of homework, presentations, and projects. Students will learn about the variety of geospatial data and techniques available for solving socioeconomic challenges and problems.

Prerequisites:

MATH 100: Introduction to Probability

STAT 100: Introduction to Statistics

CS 251: Statistical Programming with R