Metrics of Prosperity: Data Analysis for Health, Well-being, and the Economy

PEC2108.01
Course System Home Terms Spring 2024 Metrics of Prosperity: Data Analysis for Health, Well-being, and the Economy

Course Description

Summary

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.

Instructor

  • Emma Kast

Day and Time

Academic Term

Spring 2024

Credits

4

Course Level

2000

Maximum Enrollment

15