Old DDE courses

Schedule

• Thursday 2:00PM-5:00PM: Room G (Ground Floor, Via Regina Elena - Building G)

• Friday 2:00PM-5:00PM: Room VI (4th floor - Faculty of Statistics, Piazzale Aldo Moro, 5)

• Office hours: after the lecture or by appointment (please send me an e-mail)

  • On June 6 we will meet at 3:00PM in classroom III on the 1st floor of the Faculty of Statistics, Piazzale Aldo Moro, 5)

Announcements

• The introductory lecture will be given on April 5 at 3:00PM. Before each lecture please check the website for possible changes.

• The second lecture will be given on April 11 at 2:00PM.

• There will be no lecture on April 12 to allow students to take the exam on the first part.

• The next lecture will be on May 2nd. I will keep you posted.

• We skipped lecture on May 3rd but I asked you to start working on homework #1 which is just the first step for the final project.

• The next lecture is on May 9th.

Syllabus 

(link to pdf file):

Lectures: (posted at the end of each lecture)

• 1. Lecture 1: introduction to the course

  2. Lecture 2: some big data for economics and some concepts of microeconomics

  3. Lecture 3: an introduction to NLP and text mining for economics

  4. Lecture 4: text mining for central banks

  5. Lecture 5: text mining techniques

  6. Lecture 6: text mining in economics. Some examples

Homework

• 1. HW 1: (due on May 19)

  2. HW 2 and Final project: (due by June 10)

References (to be read)

• 1. Bholat D., S. Hansen, P. Santos and C. Schonhardt-Baileyet (2015) Text Mining For Central Banks 

  2. Hansen S., M. McMahon and A. Prat, (2016) "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach", Quarterly Journal of Economics, Volume 133, Issue 2, May 2018, Pages 801–870,https://doi.org/10.1093/qje/qjx045

1. Thorsrud, Leif A., (2018), Words are the New Numbers: A Newsy Coincident Index of the Business Cycle, Journal of Business & Economic Statistics, https://doi.org/10.1080/07350015.2018.1506344

2. Thorsrud, Leif A., (2018), Words are the New Numbers: A Newsy Coincident Index of the Business Cycle - Online Appendix, https://doi.org/10.6084/m9.figshare.6949502.v1

3. Tetlock, Paul C., (2007), Giving Content to Investor Sentiment: The Role of Media in the Stock Market, The Journal of Finance, 62(3), p. 1139-1168, https://doi.org/10.1111/j.1540-6261.2007.01232.x.

4. D'Amuri, F. and Marcucci, J. (2017), The Predictive Power of Google Searches in Forecasting US Unemploymnet, International Journal of Forecasting, 33(4), p. 801-816, https://doi.org/10.1016/j.ijforecast.2017.03.004