Text Data in Economics Masterclass
Text Data in Economics Masterclass
QAPECLink opens in a new window in collaboration with PEPELink opens in a new window Research Group is offering a training opportunity to acquire important skills in text data analysis. The masterclass is intended for MRes-PhD students, staff of the Department and QAPEC and PEPE affiliates.
Prof , from ETC Zurich, will deliver the course. Elliott's research and teaching focus on empirical analysis of the law and legal system using techniques from econometrics, natural language processing, and machine learning.
Book Your Place
Prerequisites
Knowledge of Python basics. Supplementary materials will be provided prior to the course for those who need to learn Python (coming soon)
Learning Objectives
1. To implement and evaluate text-as-data methods.
2. To evaluate the use of text-analysis tools in economics research.
3. To plan a research project using text data.
Schedule
Lectures: 2 (1.5 hours) lectures per week for 4 weeks on Zoom from mid June to mid July 2022
TA office hrs: TBC
Important Links
Problem Sets
Syllabus
Course Format
- 10 lectures on zoom (10 hours), recorded
- 4 TA sessions on zoom (4 hours), recorded
- In-person workshopping of student project papers
Assignments
- 3 problem sets based on the example notebooks
- In-class presentation of a course reading, with a partner ()
- Referee report on one of the course readings
- Research proposal on a text-data project (first and second draft, individually or partners)
Critical Presentations
- Done in pairs
- 10 minutes maximum
- Present and critique the following:
- research question
- text-analysis method
- empirical methods
- results
- contribution
Lecture Schedule
| June 15th | 13h UK | Lecture 1 |
| June 17th | 10h | Lecture 2 |
| June 20th | 10h | Lecture 3 |
| June 22nd | 10h | Lecture 4 |
| June 29th | 15h | Lecture 5 |
| July 4th | 10h | Lecture 6 |
| July 6th | 10h | Lecture 7 |
| July 8th | 10h | Lecture 8 |
| July 11th | 10h | Lecture 9 |
| July 12th | 10h | Lecture 10 |
TA Session Schedule
| June 16th | TBD | TA Session 1 |
| June 21st | TBD | TA Session 2 |
| July 5th | TBD | TA Session 3 |
| July 13th | TBD | TA Session 4 |
Topics Outline and Main Economics Papers Readings
1. Overview
a. Gentzkow, Kelly, and Taddy, 鈥�.鈥�
2. Style Features and Dictionaries
a. Enke (2020),
b. Michalopoulous and Xue (2021),
3. Tokenization
a. Gentzkow and Shapiro (2010), .
b. Hassan, Hollander, Van Lent, and Tahoun (2019),
4. Document Distance
a. Kelly, Papanikolau, Seru, and Taddy,
b. Cage, Herve, and Viaud,
5. Topic Models
a. Hansen, McMahon, and Prat, .
b. Ash, Morelli, and Vannoni, 鈥溾��
6. Supervised Learning
a. Gentzkow, Shapiro, and Taddy (2019),
b. Widmer, Galletta, and Ash (2022),
7. Word Embeddings
a. Ash, Chen, and Ornaghi (2022), 鈥溾��
b. Ash, Gennaro, Hangartner, and Stampi-Bombelli (2022), 鈥淚mmigration and Social Distance: Evidence from Newspapers during the Age of Mass Migration鈥�.
8. Syntactic and Semantic Parsing
a. Antoniak, Mimo, and Levy (2019),
b. Ash, Gauthier, and Widmer (2022),
9. Additional Topics
a. Ash, Durante, Grebenschikova, and Schwarz (2022), .
b.
Resources
Further helpful resources can be found at the following links:
Form Submission
Please complete the form below to express your interest in partaking in the masterclass.