<p>Lecture, three hours; discussion, one hour. Limited to Master of Applied Economics students. Introduction to probability, statistics, econometrics, and time series methods used in economics, business, and government using R and Python. Topics include estimation, simple and multiple regression, cross-sectional and panel data, instrumental variables, and estimation with stationary/non-stationary processes. Letter grading.</p>

Economics

Combining rigorous, inclusive pedagogy with opportunities for co-curricular activities—including research, internships, and community engagement—the College provides students with diverse learning experiences that helps them thrive, become critical thinkers, and transform society.

College of Letters and Science

The department conducts cutting-edge research by developing and applying new methodologies to understand society's most critical issues and trains future generations of economic leaders.

General Catalog

Applied Statistics, Econometrics, and Time Series with R and Python

ECON430

4 units