2 credits
Spring 2026 LectureData from last updated 12/3/2025
Spring 2026
Spring 2026 Instructors:
This course covers selected topics in panel data and spatial econometrics with an emphasis on developing a clear understanding of the methodological issues involved as well as identifying a set of substantive issues where such methods can be applied. Familiarity with a matrix-oriented programming language is essential. Considerable emphasis will be placed on the replication of simulation and empirical results from published papers. Prerequisite: ECON 67200.
Learning Outcomes1Understand concepts for characterizing panel and spatial data.
2Estimate panel and spatial models and conduct inferences.
3Apply to real economic panel and spatial data.
Restrictions
BoilerCoursesis an unofficial catalog for Purdue courses
made by Purdue students.
made by Purdue students.