Skip to content

linghui-wu/persp-research-econ_Spr20

 
 

Repository files navigation

MACS 30250 - Perspectives on Computational Research in Economics (Spring 2020)

Dr. Richard Evans
Email rwevans@uchicago.edu
Office 1155 E 60th St, Room 217 (but really in Utah)
Office Hours M 3:00-5:00pm
GitHub rickecon
  • Meeting day/time: MW 1:30-2:50pm Central Time (Chicago), Remote access
  • Office hours also available by appointment

Course description

This course focuses on applying computational methods to conducting social scientific research in economics through a student-developed research project. Students will identify a research question of their own interest that involves a direct reference to economic theory, use of data, and a significant computational component. The students will collect data, develop, apply, and interpret statistical learning models, and generate a fully reproducible research paper. We will identify how computational methods can be used throughout the research process, from data collection and tidying, to exploration, visualization and modeling, to the final communication of results. The course will include modules on theoretical and practical considerations, including topics such as epistemological questions about research design, writing and critiquing papers, and additional computational tools for analysis.

Grades

Assignment Points Quantity Total points Percent
Proposal 10 1 10 6.7%
Literature review 15 1 15 10.0%
Methods/initial results 15 1 15 10.0%
Peer evaluations of posters 2 5 0 0.0%
Poster presentation 30 1 30 20.0%
Final paper 40 1 40 26.7%
Problem sets 10 4 40 26.7%
Total Points 160 100.0%

Students will turn assignments in via their own public GitHub fork of the main class repository (e.g., https://github.com/YourGitHubHandle/persp-research-econ_Spr20). The directory structure of this repository should be the following.

  • github.com/YourGithubHandle/persp-research-econ_Spr20/
    • Assignments
      • PS1
      • PS2
      • PS3
      • PS4
    • Proposal
    • LitReview
    • MethodsResults
    • Poster
    • FinalPaper

Late Problem Sets

Late problem sets will be penalized 2 points for every hour they are late. For example, if an assignment is due on Monday at 1:30pm Central Time (Chicago), the following points will be deducted based on the time stamp of the last commit.

Example PR last commit points deducted
1:31pm to 2:30pm -2 points
2:31pm to 3:30pm -4 points
3:31pm to 4:30pm -6 points
4:31pm to 5:30pm -8 points
5:31pm and beyond -10 points (no credit)

Disability services

If you need any special accommodations, please provide us with a copy of your Accommodation Determination Letter (provided to you by the Student Disability Services office) as soon as possible so that you may discuss with me how your accommodations may be implemented in this course.

Course schedule

Date Day Topic Reading Recording Assignment
Apr 6 M Overview/reproducibility in science Slides Video
Apr 8 W Abstract/intro/conclusion Slides
Apr 13 M Theory section of paper Slides Video
Apr 14 Tu Proposal slides due
Apr 15 W Proposal presentations Video Proposal presentations
Apr 20 M Data section of paper Slides Video
Apr 22 W Computational results section of paper Slides Video
Apr 27 M Kernel density estimation Notebk1 Video PS1
Apr 29 W Kernel density estimation Notebk2 Video Lit review section due
May 4 M Parallel computing Notebk Video PS2
May 6 W Parallel computing Dask Tutorial Video
May 11 M Workshop papers/office visits Schedule
May 13 W Dynamic programming with interpolation Notebk Video PS3
May 18 M Dynamic programming with interpolation Video
May 20 W Workshop papers/office visits Schedule
May 25 M No class (Memorial Day Holiday)
May 27 W Effective presentations, poster, slides Slides/Notes Join Zoom Methods/initial results section due
Jun 1 M Overlapping generations models Notes Video PS4
Jun 3 W Overlapping generations models Join Zoom Poster due
Jun 4-5 Th-Fri Zoom poster presentations (CANCELLED)
Jun 10 W Final papers due at 11:59pm Papers due

References and Readings

About

Course site for MACS 30250 (Spring 2020) - Perspectives on Computational Research in Economics

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 83.4%
  • HTML 16.3%
  • Other 0.3%