Metrics of Prosperity: Data Analysis for Health, Well-being, and the Economy (PEC2108.01)

Emma Kast

This course introduces students to econometric approaches to asking and answering questions about health, well-being, and the economy. The primary aim of the course is to understand how economists analyze data to determine causal effect. We will analyze data sets to ask and answer socioeconomic questions such as: What factors affect a person’s income, and how do we know? How can we identify the underlying causes of and potential solutions for regional variations in healthcare access and outcomes? Students will learn how to run regressions using the Stata statistical software package, becoming familiar with different types of data such as cross-sectional, time series, and panel data. We will also think critically about the quantitative methods that we practice, evaluating their strengths, limitations, and intellectual history. No math experience beyond a high school level of algebra is required for the course.

Learning Outcomes:
In this course, students will learn to:

-Understand how economists think about causality.
-Use STATA to run regressions and interpret results.
-Evaluate the benefits and limits of econometric approaches to analyzing socioeconomic data.
-Build foundations for advanced study in econometric analysis.

Delivery Method: Fully in-person
Course Level: 2000-level
Credits: 4
T/F 2:10PM - 4:00PM (Full-term)
Maximum Enrollment: 15
Course Frequency: One time only

Categories: 2000 , All courses , Four Credit , Fully In-Person , New Courses , Political Economy , Updates
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