Philippe Goulet Coulombe

Philippe Goulet Coulombe

University of Pennsylvania

H-index: 9

North America-United States

About Philippe Goulet Coulombe

Philippe Goulet Coulombe, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of machine learning, macroeconomics, econometrics, climate.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

Maximally Forward-Looking Core Inflation

From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks

When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume

Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models

Maximally Machine-Learnable Portfolios

The Anatomy of Out-of-Sample Forecasting Accuracy

A Neural Phillips Curve and a Deep Output Gap

Philippe Goulet Coulombe Information

University

Position

___

Citations(all)

452

Citations(since 2020)

450

Cited By

85

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Philippe Goulet Coulombe Skills & Research Interests

machine learning

macroeconomics

econometrics

climate

Top articles of Philippe Goulet Coulombe

Title

Journal

Author(s)

Publication Date

Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

Bulletin of the American Meteorological Society

Mitchell Bushuk

Sahara Ali

David A Bailey

Qing Bao

Lauriane Batté

...

2024/4/22

Maximally Forward-Looking Core Inflation

Available at SSRN 4758517

Philippe Goulet Coulombe

Karin Klieber

Christophe Barrette

Maximilian Göbel

2024/3/14

From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks

arXiv preprint arXiv:2311.16333

Philippe Goulet Coulombe

Mikael Frenette

Karin Klieber

2023/11/27

When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume

Journal of Econometrics

Francis X Diebold

Glenn D Rudebusch

Maximilian Göbel

Philippe Goulet Coulombe

Boyuan Zhang

2023/10/1

Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models

Energy Economics

Francis X Diebold

Maximilian Göbel

Philippe Goulet Coulombe

2023/8/1

Maximally Machine-Learnable Portfolios

Available at SSRN 4428178

Philippe Goulet Coulombe

Maximilian Göbel

2023/4/24

The Anatomy of Out-of-Sample Forecasting Accuracy

Daniel Borup

Philippe Goulet Coulombe

David Rapach

Erik Christian Montes Schütte

Sander Schwenk-Nebbe

2022/11/16

A Neural Phillips Curve and a Deep Output Gap

arXiv preprint arXiv:2202.04146

Philippe Goulet Coulombe

2022/2/8

Optimal combination of Arctic sea ice extent measures: A dynamic factor modeling approach

International Journal of Forecasting

Francis X Diebold

Maximilian Göbel

Philippe Goulet Coulombe

Glenn D Rudebusch

Boyuan Zhang

2021/10/1

On Spurious Causality, CO2, and Global Temperature

Econometrics

Philippe Goulet Coulombe

Maximilian Göbel

2021/9

Slow-Growing Trees

arXiv preprint arXiv:2103.01926

Philippe Goulet Coulombe

2021/3/2

Can Machine Learning Catch the COVID-19 Recession?

National Institute Economic Review

Philippe Goulet Coulombe

Massimiliano Marcellino

Dalibor Stevanović

2021/5

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

Philippe Goulet Coulombe

Maxime Leroux

Dalibor Stevanovic

Stéphane Surprenant

2020/8/27

Macroeconomic Data Transformations Matter

International Journal of Forecasting

Philippe Goulet Coulombe

Maxime Leroux

Dalibor Stevanovic

Stéphane Surprenant

2021/10/1

The Macroeconomy as a Random Forest

arXiv preprint arXiv:2006.12724

Philippe Goulet Coulombe

2020/6/23

Time-Varying Parameters as Ridge Regressions

arXiv preprint arXiv:2009.00401

Philippe Goulet Coulombe

2020/9/1

See List of Professors in Philippe Goulet Coulombe University(University of Pennsylvania)

Co-Authors

H-index: 97
Francis Diebold

Francis Diebold

University of Pennsylvania

H-index: 64
Massimiliano Marcellino

Massimiliano Marcellino

Università Commerciale Luigi Bocconi

H-index: 41
David Rapach

David Rapach

Saint Louis University

H-index: 17
Dalibor Stevanovic

Dalibor Stevanovic

Université du Québec à Montréal

H-index: 8
Daniel Borup

Daniel Borup

Aarhus Universitet

H-index: 7
Erik Christian Montes Schütte

Erik Christian Montes Schütte

Aarhus Universitet

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