Macroeconomic Forecasting with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Carriero, Andrea, Pettenuzzo, Davide, Shekhar, Shubhranshu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Double Descent and Benign Overfitting in Macroeconomic Forecasting
by: Carriero, Andrea, et al.
Published: (2026)
by: Carriero, Andrea, et al.
Published: (2026)
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
by: Athey, Susan, et al.
Published: (2024)
by: Athey, Susan, et al.
Published: (2024)
Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025)
by: Chi, Ta-Chung, et al.
Published: (2025)
From Many Models, One: Macroeconomic Forecasting with Reservoir Ensembles
by: Ballarin, Giovanni, et al.
Published: (2025)
by: Ballarin, Giovanni, et al.
Published: (2025)
Causality Elicitation from Large Language Models
by: Kameyama, Takashi, et al.
Published: (2026)
by: Kameyama, Takashi, et al.
Published: (2026)
LGB+: A Macroeconomic Forecasting Road Test
by: Coulombe, Philippe Goulet
Published: (2026)
by: Coulombe, Philippe Goulet
Published: (2026)
Conditional Forecasts in Large Bayesian VARs with Multiple Equality and Inequality Constraints
by: Chan, Joshua C. C., et al.
Published: (2024)
by: Chan, Joshua C. C., et al.
Published: (2024)
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
by: Sengupta, Shovon, et al.
Published: (2025)
by: Sengupta, Shovon, et al.
Published: (2025)
Bayesian Neural Networks for Macroeconomic Analysis
by: Hauzenberger, Niko, et al.
Published: (2022)
by: Hauzenberger, Niko, et al.
Published: (2022)
Causal Inference on Outcomes Learned from Text
by: Modarressi, Iman, et al.
Published: (2025)
by: Modarressi, Iman, et al.
Published: (2025)
Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research
by: Arbia, Giuseppe, et al.
Published: (2025)
by: Arbia, Giuseppe, et al.
Published: (2025)
Measuring the Quality of Answers in Political Q&As with Large Language Models
by: Alvarez, R. Michael, et al.
Published: (2024)
by: Alvarez, R. Michael, et al.
Published: (2024)
A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
by: Liu, Haojie, et al.
Published: (2025)
by: Liu, Haojie, et al.
Published: (2025)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
A Neural Topic Method Using a Large-Language-Model-in-the-Loop for Business Research
by: Ludwig, Stephan, et al.
Published: (2026)
by: Ludwig, Stephan, et al.
Published: (2026)
Extracting Consumer Insight from Text: A Large Language Model Approach to Emotion and Evaluation Measurement
by: Ludwig, Stephan, et al.
Published: (2026)
by: Ludwig, Stephan, et al.
Published: (2026)
Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis
by: Daoud, Adel, et al.
Published: (2025)
by: Daoud, Adel, et al.
Published: (2025)
Dual Interpretation of Machine Learning Forecasts
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
HMM-LSTM Fusion Model for Economic Forecasting
by: Sivakumar, Guhan
Published: (2025)
by: Sivakumar, Guhan
Published: (2025)
SLIM: Stochastic Learning and Inference in Overidentified Models
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Forecasting Algorithms for Causal Inference with Panel Data
by: Goldin, Jacob, et al.
Published: (2022)
by: Goldin, Jacob, et al.
Published: (2022)
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling
by: Singh, Aman
Published: (2026)
by: Singh, Aman
Published: (2026)
Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting
by: Kleinebrahm, Max, et al.
Published: (2026)
by: Kleinebrahm, Max, et al.
Published: (2026)
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns
by: Deng, Lin, et al.
Published: (2023)
by: Deng, Lin, et al.
Published: (2023)
A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
by: Lyu, Boge, et al.
Published: (2025)
by: Lyu, Boge, et al.
Published: (2025)
An Auditable AI Agent Loop for Empirical Economics: A Case Study in Forecast Combination
by: Shin, Minchul
Published: (2026)
by: Shin, Minchul
Published: (2026)
Inflation Attitudes of Large Language Models
by: Anesti, Nikoleta, et al.
Published: (2025)
by: Anesti, Nikoleta, et al.
Published: (2025)
Policy design in experiments with unknown interference
by: Viviano, Davide, et al.
Published: (2020)
by: Viviano, Davide, et al.
Published: (2020)
Large SVARs
by: Arias, Jonas E., et al.
Published: (2025)
by: Arias, Jonas E., et al.
Published: (2025)
A Gentle Introduction to Conformal Time Series Forecasting
by: Stocker, M., et al.
Published: (2025)
by: Stocker, M., et al.
Published: (2025)
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data
by: Tenev, Nicholas
Published: (2024)
by: Tenev, Nicholas
Published: (2024)
Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting
by: Hirsch, Simon
Published: (2025)
by: Hirsch, Simon
Published: (2025)
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles
by: Vallarino, Diego
Published: (2024)
by: Vallarino, Diego
Published: (2024)
Learning the Macroeconomic Language
by: Chib, Siddhartha, et al.
Published: (2025)
by: Chib, Siddhartha, et al.
Published: (2025)
Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data
by: Ballarin, Giovanni, et al.
Published: (2022)
by: Ballarin, Giovanni, et al.
Published: (2022)
Admissibility of Completely Randomized Trials: A Large-Deviation Approach
by: Imbens, Guido, et al.
Published: (2025)
by: Imbens, Guido, et al.
Published: (2025)
A Multi-Layer Machine Learning and Econometric Pipeline for Forecasting Market Risk: Evidence from Cryptoasset Liquidity Spillovers
by: Qiu, Yimeng, et al.
Published: (2025)
by: Qiu, Yimeng, et al.
Published: (2025)
The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
by: Jin, Jikai, et al.
Published: (2026)
by: Jin, Jikai, et al.
Published: (2026)
Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods
by: Wang, Tony, et al.
Published: (2025)
by: Wang, Tony, et al.
Published: (2025)
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model
by: Mukerji, Abhimanyu, et al.
Published: (2024)
by: Mukerji, Abhimanyu, et al.
Published: (2024)
Similar Items
-
Double Descent and Benign Overfitting in Macroeconomic Forecasting
by: Carriero, Andrea, et al.
Published: (2026) -
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
by: Athey, Susan, et al.
Published: (2024) -
Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025) -
From Many Models, One: Macroeconomic Forecasting with Reservoir Ensembles
by: Ballarin, Giovanni, et al.
Published: (2025) -
Causality Elicitation from Large Language Models
by: Kameyama, Takashi, et al.
Published: (2026)