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Goulet Coulombe, Philippe
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1

The macroeconomy as a random forest:

Goulet Coulombe, Philippe
Journal of Applied Econometrics.  39 (2024)  3 - p. 401-421 , 2024
Link: https://doi.org/10.1002/..
 
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2

Reprint of: When will Arctic sea ice disappear? Projections..:

Diebold, Francis X. ; Rudebusch, Glenn D. ; Göbel, Maximilian..
Journal of Econometrics.  239 (2024)  1 - p. 105645 , 2024
Link: https://doi.org/10.1016/..
 
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3

Slow-Growing Trees:

, In: Machine Learning for Econometrics and Related Topics; Studies in Systems, Decision and Control,
Goulet Coulombe, Philippe - p. 79-98 , 2024
Link: https://doi.org/10.1007/..
 
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4

When will Arctic sea ice disappear? Projections of area, ex..:

Diebold, Francis X. ; Rudebusch, Glenn D. ; Göbel, Maximilian..
Journal of Econometrics.  236 (2023)  2 - p. 105479 , 2023
Link: https://doi.org/10.1016/..
 
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5

Assessing and comparing fixed-target forecasts of Arctic se..:

Diebold, Francis X. ; Göbel, Maximilian ; Goulet Coulombe, Philippe
Energy Economics.  124 (2023)  - p. 106833 , 2023
Link: https://doi.org/10.1016/..
 
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6

How is machine learning useful for macroeconomic forecastin..:

Goulet Coulombe, Philippe ; Leroux, Maxime ; Stevanovic, Dalibor.
Journal of Applied Econometrics.  37 (2022)  5 - p. 920-964 , 2022
Link: https://doi.org/10.1002/..
 
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7

Macroeconomic data transformations matter:

Goulet Coulombe, Philippe ; Leroux, Maxime ; Stevanovic, Dalibor.
International Journal of Forecasting.  37 (2021)  4 - p. 1338-1354 , 2021
Link: https://doi.org/10.1016/..
 
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8

On Spurious Causality, CO2, and Global Temperature:

Goulet Coulombe, Philippe ; Göbel, Maximilian
Econometrics.  9 (2021)  3 - p. 33 , 2021
Link: https://doi.org/10.3390/..
 
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9

CAN MACHINE LEARNING CATCH THE COVID-19 RECESSION?:

Goulet Coulombe, Philippe ; Marcellino, Massimiliano ; Stevanović, Dalibor
National Institute Economic Review.  256 (2021)  - p. 71-109 , 2021
Link: https://doi.org/10.1017/..
 
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10

Optimal combination of Arctic sea ice extent measures: A dy..:

Diebold, Francis X. ; Göbel, Maximilian ; Goulet Coulombe, Philippe..
International Journal of Forecasting.  37 (2021)  4 - p. 1509-1519 , 2021
Link: https://doi.org/10.1016/..
 
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11

Arctic Amplification of Anthropogenic Forcing: A Vector Aut..:

Coulombe, Philippe Goulet ; Göbel, Maximilian
Journal of Climate.  34 (2021)  13 - p. 5523-5541 , 2021
Link: https://www.jstor.org/st..
 
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12

The anatomy of out-of-sample forecasting accuracy:

Borup, Daniel ; Goulet Coulombe, Philippe ; Rapach, David E..
Series: Working Paper.  , 2022
Link: http://hdl.handle.net/10..
 
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13

On spurious causality, CO2, and global temperature:

Goulet Coulombe, Philippe ; Göbel, Maximilian
gbv-ppn:1770085955.  , 2021
Link: http://hdl.handle.net/10..
 
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14

How is machine learning useful for macroeconomic forecastin..:

Coulombe, Philippe Goulet ; Leroux, Maxime ; Stevanovic, Dalibor.
URL: https://journaldata.zbw.eu/dataset/5c23f686-07a2-4cdb-a4ab-5a36a575e720/resource/5a4a65ce-c703-4348-a55c-35284d136061/download/readme.glss.txt.  , 2022
Link: https://doi.org/10.15456..
 
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15

On Spurious Causality, CO 2 , and Global Temperature:

Philippe Goulet Coulombe ; Maximilian Göbel
https://www.mdpi.com/2225-1146/9/3/33.  , 2021
Link: https://doi.org/10.3390/..
 
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