Structural inference in sparse high-dimensional vector autoregressions
Year of publication: |
2023
|
---|---|
Authors: | Krampe, Jonas ; Paparoditis, Efstathios ; Trenkler, Carsten |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 234.2023, 1, p. 276-300
|
Subject: | Bootstrap | De-sparsified estimator | Moving average representation | Sparse models | Inference | Impulse response | Forecast error variance decomposition | VAR-Modell | VAR model | Schätztheorie | Estimation theory | Bootstrap-Verfahren | Bootstrap approach | Prognoseverfahren | Forecasting model | Induktive Statistik | Statistical inference | Dekompositionsverfahren | Decomposition method | Zeitreihenanalyse | Time series analysis | Varianzanalyse | Analysis of variance |
-
The motifs of risk transmission in multivariate time series: Application to commodity prices
Pagnottoni, Paolo, (2023)
-
The impact of promotional mix on profit in the B2B sector
Siddhanta, Somroop, (2014)
-
Identifying the sources of model misspecification
Inoue, Atsushi, (2020)
- More ...
-
Estimated Wold representation and spectral-density-driven bootstrap for time series
Krampe, Jonas, (2018)
-
Sparsity concepts and estimation procedures for high‐dimensional vector autoregressive models
Krampe, Jonas, (2021)
-
Estimating wold matrices and vector moving average processes
Krampe, Jonas, (2020)
- More ...