• Courses
  • ECON
  • ECON 227

    • Computational Methods for Macroeconomics . ECON 227

    Covers the tools required to solve state-of-the-art models in quantitative macroeconomics: dynamic programming, projection, perturbation, and deep learning algorithms. Special emphasis is given to learning contemporary programming techniques and modern software engineering workflows. Although most examples will come from macro, students in other fields (IO, international, etc.) can follow the material, and the main ideas also applyto their problems. Evaluations will be based on homework assignments, and areplication exercise.

    + Add to schedule
    Prerequisites: Second-year Ph.D. in Economics graduate student standing.

    4

    Units

    Letter

    Grading

    1, 2, 3

    Passtime

    Graduate students only

    Level Limit

    Letters and science

    College
    These majors only econ esm
    Instructors
    FERNANDEZ-VIL
    No info found

    Lecture

    NH 2212
    T R
    12:30 PM - 13:45 PM
    7 / 25
    Enrollment Trends
    Grading Trends (1)
    ECON 227 Fernandez-Vil Winter 2024 Total: 12
    You Might Also Like
    ECON 210B
    11 / 15 Enrolled
    Game Theory
    Eyster E
    M W
    15:30 PM - 16:45 PM
    60.6% A
    ECON 215H
    8 / 15 Enrolled
    Behavioral Economics
    Martin D
    M W
    09:30 AM - 10:45 AM
    100.0% A
    ECON 230D
    2 / 12 Enrolled
    Capital Taxation
    Alisa Tazhitdinova 2.4
    M W
    14:00 PM - 15:15 PM
    100.0% A
    ECON 230C
    3 / 12 Enrolled
    Individual Taxation
    Alisa Tazhitdinova 2.4
    M W
    14:00 PM - 15:15 PM
    100.0% A
    ECON 241B
    9 / 20 Enrolled
    Econometrics
    Doug Steigerwald 3.0
    M W
    09:30 AM - 10:45 AM
    61.7% A
    ECON 245H
    12 / 20 Enrolled
    Clustering, Bootstrapping, and Multiple Comparisons
    Doug Steigerwald 3.0
    M W
    12:30 PM - 13:45 PM
    100.0% A