Philippe Goulet Coulombe

My research interests are macroeconometric modelling and forecasting. 

Research 

You can find the working paper of How is Machine Learning Useful for Macroeconomic Forecasting? here. It is joint work with Dalibor Stevanovic, Maxime Leroux and Stéphane Surprenant (all from UQAM).

The latest draft of Time-Varying Parameters: A Machine Learning Approach is here

Slides from The Macroeconomy as a Random Forest are here

Upcoming Talks

  • Modelling with Big Data and Machine Learning: Interpretability and Model Uncertainty, Bank of England, November 4-5

Recent Talks

  • Canadian Econometric Study Group, Montreal October 18-20
  • Econometrics Lunch Seminar @ Penn, April 29th
  • Forecasting at Central Banks Conference, Ottawa, October 3-4
  • North American Summer Meeting of the Econometric Society, Seattle, June 27-30
  • Bank of Canada Brownbag Seminar, June 18
  • 10th Nordic Econometric Meeting, Stockholm, 23–26 May 2019
  • 4th Workshop on High-Dimensional Time Series in Macroeconomics and Finance, Vienna, May 16- 17
  • Société Canadienne de Sciences Économiques, Québec, May 7-9

Misc

(En français) High-level interview at CISM 89.3 on applications of AI/ML in economics, with a focus on macro forecasting. Starts around 32 min.

 

Teaching Assignments
Course Title
ECON 103 - Statistics for Economists (TA)

pgcpic_181002

Start Date
2016
Email
gouletc@sas.upenn.edu
Office Location
PCPSE 546
Office Hours
Friday 11-1, PCPSE 500