ECON 385
Spring 2025 not offered
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| Course Cluster and Certificates: Applied Data Science Certificate |
Econometrics is the study of statistical techniques for analyzing economic data. This course reviews multiple regression and develops several more advanced estimation techniques. Students work on individual research projects and learn to use econometric software. |
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| Credit: 1 |
Gen Ed Area Dept:
SBS ECON |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: (ECON301 OR ECON302) AND (MATH221 OR MATH223 OR QAC220) |
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Fulfills a Requirement for: (CADS)(DATA-MN)(ECON-MN)(ECON)(EDST-MN)(EDST)(HRAD-MN)(INFO-MN) |
Major Readings:
The main textbook for the course is Mastering `Metrics: The Path from Cause to Effect by Joshua Angrist and Jörn-Steffen Pischke. Additionally, the course will occasionally draw from Mostly Harmless Econometrics: An Empiricist¿s Companion, which is also by Angrist and Pischke; Causal Inference: The Mixtape by Scott Cunningham; and The Effect: An Introduction to Research Design and Causality by Nick Huntington-Klein. The latter two are available for free online and links will be provided to them on the class Moodle page.
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Examinations and Assignments:
Weekly assignments, 2 exams, and a research project. |
Additional Requirements and/or Comments:
Students will use the statistical computer program Stata.
PLEASE NOTE: Only graded courses can satisfy the requirements for the data analysis minor and the applied data science certificate. Courses completed with a CR/U grading mode will not satisfy the requirements of the two programs.
The ECON department chair Prof Hogendorn will not teach the course, but will approve any pre-registrations |
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