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The macroeconomy as a random forest. (2024). Goulet Coulombe, Philippe.
In: Journal of Applied Econometrics.
RePEc:wly:japmet:v:39:y:2024:i:3:p:401-421.

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  1. Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment. (2025). Sun, Weixin ; Wang, Yong ; Zhang, LI ; Chen, Xihui Haviour ; Hoang, Yen Hai.
    In: Technological Forecasting and Social Change.
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  2. Predicting the technological complexity of global cities based on unsupervised and supervised machine learning methods. (2025). Riccaboni, Massimo ; Gnecco, Giorgio ; Edet, Samuel ; Nutarelli, Federico.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:234:y:2025:i:c:s0167268125001301.

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  3. Bayesian neural networks for macroeconomic analysis. (2025). Marcellino, Massimiliano ; Huber, Florian ; Klieber, Karin ; Hauzenberger, Niko.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:249:y:2025:i:pc:s030440762400188x.

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  4. Opening the Black Box of Local Projections. (2025). Coulombe, Philippe Goulet ; Klieber, Karin.
    In: Papers.
    RePEc:arx:papers:2505.12422.

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  5. GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest. (2025). Raczkowski, Konrad ; Filip, Dariusz ; Klopotek, Robert A ; Landowska, Alina.
    In: Papers.
    RePEc:arx:papers:2504.20993.

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  6. Ordinary Least Squares as an Attention Mechanism. (2025). Coulombe, Philippe Goulet.
    In: Papers.
    RePEc:arx:papers:2504.09663.

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  7. An Adaptive Moving Average for Macroeconomic Monitoring. (2025). Goulet Coulombe, Philippe ; Klieber, Karin.
    In: Papers.
    RePEc:arx:papers:2501.13222.

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  8. Dual Interpretation of Machine Learning Forecasts. (2024). Goulet Coulombe, Philippe ; Goebel, Maximilian ; Klieber, Karin.
    In: Papers.
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  46. On tail fatness of macroeconomic dynamics. (2019). Liu, Xiaochun.
    In: Journal of Macroeconomics.
    RePEc:eee:jmacro:v:62:y:2019:i:c:s0164070418303367.

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  47. Understanding Persistent Stagnation. (2019). Singh, Sanjay ; Cuba-Borda, Pablo.
    In: Working Papers.
    RePEc:cda:wpaper:329.

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  48. ASYMMETRIC BUSINESS CYCLES IN EMERGING MARKET ECONOMIES. (2019). Ben Zeev, Nadav.
    In: Working Papers.
    RePEc:bgu:wpaper:1909.

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  49. Identification of Sign-Dependency of Impulse Responses. (2019). Ben Zeev, Nadav.
    In: Working Papers.
    RePEc:bgu:wpaper:1907.

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  50. Extreme events and optimal monetary policy. (2018). Ruge-Murcia, Francisco ; Kim, Jinill ; Jinill, Kim.
    In: Bank of Finland Research Discussion Papers.
    RePEc:zbw:bofrdp:rdp2018_004.

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  51. Should we use linearized models to calculate fiscal multipliers?. (2018). Trabandt, Mathias ; Lindé, Jesper.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:33:y:2018:i:7:p:937-965.

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  52. Missing Wage Inflation? Estimating the Natural Rate of Unemployment in a Nonlinear DSGE Model. (2018). Shintani, Mototsugu ; Muto, Ichiro ; Iwasaki, Yuto.
    In: IMES Discussion Paper Series.
    RePEc:ime:imedps:18-e-08.

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  53. Missing Wage Inflation? Downward Wage Rigidity and the Natural Rate of Unemployment. (2018). Shintani, Mototsugu ; Muto, Ichiro ; Iwasaki, Yuto.
    In: Bank of Japan Research Laboratory Series.
    RePEc:boj:bojlab:lab18e03.

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  54. Dealing with Misspecification in DSGE Models: A Survey. (2017). Paccagnini, Alessia.
    In: MPRA Paper.
    RePEc:pra:mprapa:82914.

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  55. Should We Use Linearized Models To Calculate Fiscal Multipliers?. (2017). Trabandt, Mathias ; Lindé, Jesper ; Linde, Jesper.
    In: Working Paper Series.
    RePEc:hhs:rbnkwp:0350.

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  56. Level and volatility factors in macroeconomic data. (2017). Ng, Serena ; Gorodnichenko, Yuriy.
    In: Journal of Monetary Economics.
    RePEc:eee:moneco:v:91:y:2017:i:c:p:52-68.

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  57. Should We Use Linearized Models To Calculate Fiscal Multipliers?. (2017). Trabandt, Mathias ; Lindé, Jesper ; Lindi, Jesper.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:12533.

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