ECON 527 - Causal Econmtrics & Mach Lrng

Unit(s): 4

Valid program evaluation and the testing of treatment effects requires a strong understanding of causal statistics. In this course students learn how to identify causal effects of development programs using methods such as interrupted time series, difference-in-differences, pipeline methods, covariate matching, instrumental variables, and regression discontinuity design. Students are introduced to basic machine-learning algorithms such as LASSO and ridge regression, and how these can be used to understand how social impacts vary among program beneficiaries.

Prerequisite: ECON 523 and ECON 521
College of Arts and Sciences