PUBPOL 5750

PUBPOL 5750

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites PUBPOL 5310.

Last 4 Terms Offered 2025SP

Learning 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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3 Credits Stdnt Opt

  •  5360 PUBPOL 5750   LEC 001

    • MW
    • Jan 20 - Apr 8, 2026
    • Alan, S

    • MW
    • Apr 13 - May 5, 2026
    • Alan, S

  • Instruction Mode: Hybrid-Online and In Person

    Enrollment limited to: Master of Public Administration (MPA) students.

  •  5361 PUBPOL 5750   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Alan, S

  • Instruction Mode: In Person

  •  5362 PUBPOL 5750   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Alan, S

  • Instruction Mode: In Person

  •  5363 PUBPOL 5750   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Alan, S

  • Instruction Mode: In Person

  •  5364 PUBPOL 5750   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Alan, S

  • Instruction Mode: In Person