Computational tools and custom-designed data collection methods for economic research; self-contained primer in building computational tools; use of computational tools in adapting tightly specified and general theoretical models to more complex and realistic settings; Primer in research design with emphasis on efficient collection of data to test theory. Prerequisites: 01:220:320, 321 and 322; 01:640:136 or 152.
Course Descriptions
01:220:420 Computational Methods for Research in Economics (3)
- Course Code: 01:220:420
- Credits: 3
- Course Type: Upper Level Elective for Major
- Minor: Minor in Quantitative Economics
- Certificate: Certificate in Computational Economics and Data Analytics
- Semester(s) Offered: Fall, Winter, Spring, Summer
- Syllabi: 01220420_SampleSyllabus.pdf