Economic Predictions With Big Data: The Illusion of Sparsity
From MaRDI portal
Publication:6100262
DOI10.3982/ecta17842OpenAlexW3123265401MaRDI QIDQ6100262
Michele Lenza, Domenico Giannone, Giorgio E. Primiceri
Publication date: 12 May 2023
Published in: Econometrica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3982/ecta17842
Related Items (15)
Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions ⋮ A Bayesian Framework for Sparse Estimation in High-Dimensional Mixed Frequency Vector Autoregressive Models ⋮ BAYESIAN DYNAMIC VARIABLE SELECTION IN HIGH DIMENSIONS ⋮ On the aggregation of probability assessments: regularized mixtures of predictive densities for eurozone inflation and real interest rates ⋮ A penalized two-pass regression to predict stock returns with time-varying risk premia ⋮ Modelling mortality: A bayesian factor-augmented var (favar) approach ⋮ Global robust Bayesian analysis in large models ⋮ An Algebraic Estimator for Large Spectral Density Matrices ⋮ Forward-selected panel data approach for program evaluation ⋮ Bridging factor and sparse models ⋮ Synthetic Control with Time Varying Coefficients A State Space Approach with Bayesian Shrinkage ⋮ Most powerful test against a sequence of high dimensional local alternatives ⋮ Structural inference in sparse high-dimensional vector autoregressions ⋮ The illusion of the illusion of sparsity: an exercise in prior sensitivity ⋮ Factor Extraction in Dynamic Factor Models: Kalman Filter Versus Principal Components
This page was built for publication: Economic Predictions With Big Data: The Illusion of Sparsity