Sparse VARs Do Not Imply Sparse Local Projections: Robust Inference for High-Dimensional Granger Causality
Fuente:
arXiv
Saved in:
| Main Authors: | Dettaa, Eugene, Wang, Endong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality
by: Dufour, Jean-Marie, et al.
Published: (2025)
by: Dufour, Jean-Marie, et al.
Published: (2025)
High-Dimensional Granger Causality for Climatic Attribution
by: Friedrich, Marina, et al.
Published: (2023)
by: Friedrich, Marina, et al.
Published: (2023)
Local Projections or VARs? A Primer for Macroeconomists
by: Olea, José Luis Montiel, et al.
Published: (2025)
by: Olea, José Luis Montiel, et al.
Published: (2025)
Local projections identify the same policy counterfactuals as empirical and structural models
by: Wang, Endong
Published: (2024)
by: Wang, Endong
Published: (2024)
Local Projections vs. VARs: Lessons From Thousands of DGPs
by: Li, Dake, et al.
Published: (2021)
by: Li, Dake, et al.
Published: (2021)
Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!
by: Gruber, Luis, et al.
Published: (2022)
by: Gruber, Luis, et al.
Published: (2022)
Inference for High-Dimensional Local Projection
by: Gao, Jiti, et al.
Published: (2026)
by: Gao, Jiti, et al.
Published: (2026)
Local Projections Inference with High-Dimensional Covariates without Sparsity
by: Cha, Jooyoung
Published: (2024)
by: Cha, Jooyoung
Published: (2024)
Quantile Granger Causality in the Presence of Instability
by: Mayer, Alexander, et al.
Published: (2024)
by: Mayer, Alexander, et al.
Published: (2024)
Robust Inference with High-Dimensional Instruments
by: Feng, Qu, et al.
Published: (2025)
by: Feng, Qu, et al.
Published: (2025)
Large Bayesian Tensor VARs with Stochastic Volatility
by: Chan, Joshua C. C., et al.
Published: (2024)
by: Chan, Joshua C. C., et al.
Published: (2024)
Simple robust two-stage estimation and inference for generalized impulse responses and multi-horizon causality
by: Dufour, Jean-Marie, et al.
Published: (2024)
by: Dufour, Jean-Marie, et al.
Published: (2024)
Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification
by: Huber, Florian, et al.
Published: (2023)
by: Huber, Florian, et al.
Published: (2023)
Theory coherent shrinkage of Time-Varying Parameters in VARs
by: Renzetti, Andrea
Published: (2023)
by: Renzetti, Andrea
Published: (2023)
Stochastic Volatility-in-mean VARs with Time-Varying Skewness
by: Ferreira, Leonardo N., et al.
Published: (2025)
by: Ferreira, Leonardo N., et al.
Published: (2025)
Large Structural VARs with Multiple Sign and Ranking Restrictions
by: Chan, Joshua, et al.
Published: (2025)
by: Chan, Joshua, et al.
Published: (2025)
Causal State-Dependent Local Projections
by: David, Joel M., et al.
Published: (2026)
by: David, Joel M., et al.
Published: (2026)
Granger Causality in Expectiles: an M-vine copula test
by: Fuentes-Martínez, Roberto, et al.
Published: (2026)
by: Fuentes-Martínez, Roberto, et al.
Published: (2026)
Causal Inference in High-Dimensional Generalized Linear Models with Binary Outcomes
by: Kong, Jing
Published: (2025)
by: Kong, Jing
Published: (2025)
Sparse High-Dimensional Vector Autoregressive Bootstrap
by: Adamek, Robert, et al.
Published: (2023)
by: Adamek, Robert, et al.
Published: (2023)
Large Bayesian VARs for Binary and Censored Variables
by: Chan, Joshua C. C., et al.
Published: (2025)
by: Chan, Joshua C. C., et al.
Published: (2025)
A Sparse Grid Approach for the Nonparametric Estimation of High-Dimensional Random Coefficient Models
by: Osterhaus, Maximilian
Published: (2024)
by: Osterhaus, Maximilian
Published: (2024)
Local Projection Inference is Simpler and More Robust Than You Think
by: Olea, José Luis Montiel, et al.
Published: (2020)
by: Olea, José Luis Montiel, et al.
Published: (2020)
Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
by: Mei, Jianhua, et al.
Published: (2025)
by: Mei, Jianhua, et al.
Published: (2025)
Robust Estimation and Inference for High-Dimensional Panel Data Models
by: Gao, Jiti, et al.
Published: (2024)
by: Gao, Jiti, et al.
Published: (2024)
Local Projections Bootstrap Inference
by: Gadea, María Dolores, et al.
Published: (2025)
by: Gadea, María Dolores, et al.
Published: (2025)
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)
Exploring Monetary Policy Shocks with Large-Scale Bayesian VARs
by: Korobilis, Dimitris
Published: (2025)
by: Korobilis, Dimitris
Published: (2025)
Estimation and Uniform Inference in Sparse High-Dimensional Additive Models
by: Bach, Philipp, et al.
Published: (2020)
by: Bach, Philipp, et al.
Published: (2020)
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
by: Adedayo, S. A.
Published: (2025)
by: Adedayo, S. A.
Published: (2025)
Largevars: An R Package for Testing Large VARs for the Presence of Cointegration
by: Bykhovskaya, Anna, et al.
Published: (2025)
by: Bykhovskaya, Anna, et al.
Published: (2025)
Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)
by: Adamek, Robert, et al.
Published: (2022)
Inference on High Dimensional Selective Labeling Models
by: Khan, Shakeeb, et al.
Published: (2024)
by: Khan, Shakeeb, et al.
Published: (2024)
Robust Inference in Locally Misspecified Bipartite Networks
by: Candelaria, Luis E., et al.
Published: (2024)
by: Candelaria, Luis E., et al.
Published: (2024)
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)
On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
High Dimensional Discrete Choice Models With Interactive Fixed Effects Applied to Causal Inference
by: Ye Chen, et al.
Published: (2025)
by: Ye Chen, et al.
Published: (2025)
Double Robustness of Local Projections and Some Unpleasant VARithmetic
by: Olea, José Luis Montiel, et al.
Published: (2024)
by: Olea, José Luis Montiel, et al.
Published: (2024)
Uniform Inference in High-Dimensional Threshold Regression Models
by: Li, Jiatong, et al.
Published: (2024)
by: Li, Jiatong, et al.
Published: (2024)
Sparse Asymptotic PCA: Identifying Sparse Latent Factors Across Time Horizon in High-Dimensional Time Series
by: Gao, Zhaoxing
Published: (2024)
by: Gao, Zhaoxing
Published: (2024)
Similar Items
-
Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality
by: Dufour, Jean-Marie, et al.
Published: (2025) -
High-Dimensional Granger Causality for Climatic Attribution
by: Friedrich, Marina, et al.
Published: (2023) -
Local Projections or VARs? A Primer for Macroeconomists
by: Olea, José Luis Montiel, et al.
Published: (2025) -
Local projections identify the same policy counterfactuals as empirical and structural models
by: Wang, Endong
Published: (2024) -
Local Projections vs. VARs: Lessons From Thousands of DGPs
by: Li, Dake, et al.
Published: (2021)