Print Syllabus

Syllabus

P000149 An introduction to Spatial Econometrics: Methods and Applications, 5.0 Credits

Subjects

Education cycle

Postgraduate level

Grading scale

Language

English

Prior knowledge

Admittance to a PhD program.

Objectives

At the end of the course, students are expected to be able to:
1. Quantify spatial dependence in empirical variables
2. Appreciate and interpret spatial aspects of economic relationships from geographic and nongeographic perspectives
3. Understand spatial econometric estimation methods
4. Explain the conditions for identification of spatial models
5. Use statistical/econometrics software to estimate models with spatial elements
6. Test and interpret estimated relationships that contain spatial elements

Content

This course provides an introduction to spatial econometrics. Spatial econometrics is concerned with the spatial aspects present in cross-sectional and space-time observations. "Space" is interpreted not merely in a geographic sense, but also in economic or sociological terms. The course is specifically designed for PhD students with a basic background in econometrics.

Formats and requirements for examination

Students will deliver a seminar presentation on their own research or replicate a provided study demonstrating the purpose and importance of spatial econometric techniques. The presentation should clearly explain the methodological steps taken, show how potential sources of error were identified and addressed, and provide a well-structured interpretation of the results.

Additional information

The primary software applications used in this course will be R, which is “free and open source software”. Stata may be used sparingly in the course.

Responsible department

Department of Economics