PSCI 293
Empirical Methods in Political Economy
Fall 2025
Division II
Q Quantitative/Formal Reasoning
Cross-listed
POEC 253
Class Details
This course introduces students to common empirical tools used in policy analysis and implementation. Students will develop skills in statistical literacy to become critical consumers of public policy-relevant research. The emphasis in the course is split between an intuitive understanding of statistical foundations, and applications in data visualization and science communication. Through hands-on work with data and critical assessment of existing empirical social scientific research, students will develop the ability to choose and employ the appropriate tool for a particular research problem, and to understand the limitations of the techniques. Topics to be covered include basic principles of probability; effective data visualization; statistical inference and hypothesis testing; and multiple regression analysis. A particular focus will be placed on understanding causality, the challenges of estimating causal relationships, and the design of evidence-based policy. Throughout the course, the focus will be on public policy applications relevant to the fields of political science, sociology, and public health, as well as to economics.
The Class:
Format: lecture
Limit: 20
Expected: 15
Class#: 1494
Grading: yes pass/fail option, yes fifth course option
Limit: 20
Expected: 15
Class#: 1494
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation:
Problem sets, group project, midterm exam, final exam
Prerequisites:
MATH 130 or its equivalent; one course in ECON; not open to students who have taken ECON 255
Enrollment Preferences:
Political Economy majors, Environmental Policy majors and sophomores
Unit Notes:
does not satisfy the econometrics requirement for the Economics major; POEC 253 cannot be substituted for ECON 255, or count as an elective towards the Economics major
Distributions:
Division II
Quantitative/Formal Reasoning
Notes:
This course is cross-listed and the prefixes carry the following divisional credit:
PSCI 293 Division II POEC 253 Division II
PSCI 293 Division II POEC 253 Division II
QFR Notes:
The course teaches econometrics, i.e. statistics as economists use it, with applications in economics, political science, and other fields.
Attributes:
Data Science
POEC Required Courses
POEC Required Courses
Class Grid
Updated 1:15 pm
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HEADERS
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PSCI 293 - 01 (F) LEC Empirical Methods in Pol Econ
PSCI 293 - 01 (F) LEC Empirical Methods in Pol EconDivision II Q Quantitative/Formal ReasoningTF 2:35 pm - 3:50 pm
1494OpenNone