ECON 224

EconAppMachineLearning

5credits
About this course

Introduces machine learning methods and their application to econometrics and applied economics. Covers the traditional use of machine learning for solving prediction problems and recent research applying the methods to causal inference and counterfactual prediction. Students learn the basic theory justifying the use of these methods and gain experience implementing them in R using economic data. Through class discussions, students study examples of applied economic research utilizing machine learning methods.

All available terms

2 terms

Avg. GPA
4.00
Grades
22

Other grades

S31.8%
More course details

University of California, Santa Cruz

ECON 224 at UCSC: average GPA 4.00 across 22 students. Grade distribution by term. Introduces machine learning methods and their application to econometrics…

Average GPA: 4.00

Grade distribution records: 22 students across 2 terms.

Grade distribution

GradeStudentsPercent
A+1463.6%
A14.5%
S731.8%

Based on 22 student grade records across 2 terms and 1 professor.

Instructors

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