Expertise

Machine learning, Econometrics, Financial econometrics, Artificial intelligence, Macroeconomics, Climate modeling

Biography

Philippe Goulet Coulombe is an Associate Professor of Economics at the Université du Québec à Montréal (UQAM). His research spans econometrics, machine learning, macroeconomics, finance, and climate change, with a central focus on developing new learning algorithms that enhance statistical efficiency and interpretability in time series analysis. He holds a Ph.D. in Economics from the University of Pennsylvania and is an Associate Editor for the International Journal of Forecasting.

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CIRANO Publications by Philippe Goulet Coulombe

As an author

1 to 5 of 5 results
CS

Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables

Philippe Goulet Coulombe, Massimiliano Marcellino and Dalibor Stevanovic

World Economy
CS

Can Machine Learning Catch the COVID-19 Recession?

Philippe Goulet Coulombe, Massimiliano Marcellino and Dalibor Stevanovic

Covid-19, Business Cycles, Econometrics and Data Sciences
RP

Prévision de l’activité économique au Québec et au Canada à l’aide des méthodes Machine Learning

Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanovic and Stéphane Surprenant

Economic and Fiscal Policy and Data Sciences
CS

Macroeconomic Data Transformations Matter

Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanovic and Stéphane Surprenant

Econometrics and Public Finance
CS

How is Machine Learning Useful for Macroeconomic Forecasting?

Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanovic and Stéphane Surprenant

Digital Transformation

CIRANO Projects

Analysis of Economic Activity in Quebec and Canada Using Machine Learning Methods

Prévision de l’activité économique au Québec et au Canada à l’aide des méthodes Machine Learning - Publié le August 27, 2020

Dalibor Stevanovic, Maxime Leroux, Philippe Goulet Coulombe, Stéphane Surprenant

Data Sciences