PUBPOL 5750
Last Updated
- Schedule of Classes - December 8, 2024 7:33PM EST
- Course Catalog - December 8, 2024 7:07PM EST
Classes
PUBPOL 5750
Course Description
Course information provided by the Courses of Study 2024-2025.
Second semester of a two-semester sequence in applied statistics for Public Policy. Review of key material (regression analysis, and statistical inference for regression). Advanced topics in regression analysis such as: interaction terms, log transformations, binary independent and dependent variables. Introduction to research design for causal analysis, including: experiments, Differences-in-Differences, and Regression Discontinuity.
When Offered Spring.
Prerequisites/Corequisites  Prerequisite: PUBPOL 5310.
Comments This is the second part of a two-course sequence, following PUBPOL 5310.
Outcomes- Correctly interpret results from linear regressions.
- Run and correctly interpret regression models using interactions, data transformations, and binary variables as both independent and dependent variables.
- Describe and diagnose ways that regression analysis can break down (violations of model assumptions).
- Correctly use causal research designs to identify and estimate causal effects of policy interventions.
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - May 6, 2025
Instructors
Alan, S
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Additional Information
Instruction Mode: In Person
Required Prerequisite: PUBPOL 5310.
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