Cover Image

High-Dimensional Granger Causality for Climatic Attribution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Friedrich, Marina, Margaritella, Luca, Smeekes, Stephan
Format:	Preprint
Published:	2023
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse High-Dimensional Vector Autoregressive Bootstrap
by: Adamek, Robert, et al.
Published: (2023)

New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings
by: Margaritella, Luca, et al.
Published: (2024)

Decomposing Global Bank Network Connectedness: What is Common, Idiosyncratic and When?
by: Krampe, Jonas, et al.
Published: (2024)

Estimation of Latent Group Structures in Time-Varying Panel Data Models
by: Haimerl, Paul, et al.
Published: (2025)

Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)

Sparse VARs Do Not Imply Sparse Local Projections: Robust Inference for High-Dimensional Granger Causality
by: Dettaa, Eugene, et al.
Published: (2024)

Quantile Granger Causality in the Presence of Instability
by: Mayer, Alexander, et al.
Published: (2024)

Transmission Channel Analysis in Dynamic Models
by: Wegner, Enrico, et al.
Published: (2024)

Min(d)ing the President: A text analytic approach to measuring tax news
by: Lieb, Lenard, et al.
Published: (2021)

Granger Causality in Expectiles: an M-vine copula test
by: Fuentes-Martínez, Roberto, et al.
Published: (2026)

Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality
by: Dufour, Jean-Marie, et al.
Published: (2025)

Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
by: Adedayo, S. A.
Published: (2025)

Causal Inference in High-Dimensional Generalized Linear Models with Binary Outcomes
by: Kong, Jing
Published: (2025)

Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
by: Mei, Jianhua, et al.
Published: (2025)

Non-linear dependence and Granger causality: A vine copula approach
by: Fuentes-Martínez, Roberto, 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)

Microfoundations and the Causal Interpretation of Price-Exposure Designs
by: Moreno-Louzada, Luca, et al.
Published: (2025)

Multiply-Robust Causal Change Attribution
by: Quintas-Martinez, Victor, et al.
Published: (2024)

High Dimensional Discrete Choice Models With Interactive Fixed Effects Applied to Causal Inference
by: Ye Chen, et al.
Published: (2025)

Robust Inference with High-Dimensional Instruments
by: Feng, Qu, et al.
Published: (2025)

Inference for High-Dimensional Local Projection
by: Gao, Jiti, et al.
Published: (2026)

Inference on High Dimensional Selective Labeling Models
by: Khan, Shakeeb, et al.
Published: (2024)

Identification and Estimation of Causal Effects in High-Frequency Event Studies
by: Casini, Alessandro, et al.
Published: (2024)

Uniform Inference in High-Dimensional Threshold Regression Models
by: Li, Jiatong, et al.
Published: (2024)

Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices
by: Dzuverovic, Emilija, et al.
Published: (2023)

Variable Selection in High Dimensional Linear Regressions with Parameter Instability
by: Chudik, Alexander, et al.
Published: (2023)

Robust Estimation and Inference for High-Dimensional Panel Data Models
by: Gao, Jiti, et al.
Published: (2024)

Treatment Effects Inference with High-Dimensional Instruments and Control Variables
by: Chen, Xiduo, et al.
Published: (2025)

Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models
by: Duan, Jiangtao, et al.
Published: (2025)

Local Projections Inference with High-Dimensional Covariates without Sparsity
by: Cha, Jooyoung
Published: (2024)

High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
by: Ouyang, Fu, et al.
Published: (2023)

Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach
by: Chen, Hongqi, et al.
Published: (2024)

Amazon Ads Multi-Touch Attribution
by: Lewis, Randall, et al.
Published: (2025)

Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity
by: Fan, Qingliang, et al.
Published: (2023)

High-Dimensional Matrix-Variate Diffusion Index Models for Time Series Forecasting
by: Ma, Zhiren, et al.
Published: (2025)

Inference in High-Dimensional Panel Models: Two-Way Dependence and Unobserved Heterogeneity
by: Chen, Kaicheng
Published: (2025)

Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects
by: Ruecker, Maximilian, et al.
Published: (2022)

Model Selection in High-Dimensional Linear Regression using Boosting with Multiple Testing
by: Kapetanios, George, et al.
Published: (2026)

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models
by: Argañaraz, Facundo, et al.
Published: (2025)

A Sparse Grid Approach for the Nonparametric Estimation of High-Dimensional Random Coefficient Models
by: Osterhaus, Maximilian
Published: (2024)