THRESHOLDS AND SMOOTH TRANSITIONS IN VECTOR AUTOREGRESSIVE MODELS
By K. Hubrich, Timo Teräsvirta. 2013
101 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/3fb2943f36e1a71d6ea07940deefb6eee0e0b606
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Yukai Yang
- Timo Teräsvirta
- Cristina Amado
- Eric Zivot
- Maria Pacurar
- K. Hubrich
- Marcelo C. Medeiros
- Andrew J. Patton
Citations in the corpus
- Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models (2014, unknown): “…not been frequently considered in the previous literature albeit it has recently awoken increasing interest (see, e.g., Karamé, 2012 and 2015, and Hubrich and Teräsvirta, 2013, 313 315, who discuss GIRFs in Markov-switching and threshold and smooth transition vector autoregressive models,…”
- Linearity and misspecification tests for vector smooth transition regression models (2014, unknown): “For a recent survey of Vector Threshold Autoregressive (VTAR) and LVSTAR models, see Hubrich and Teräsvirta (2013).”
- Bayesian nonparametric vector autoregressive models (2018, unknown): “For a comprehensive survey see Hubrich and Teräsvirta (2013).”
- Specification, estimation and evaluation of vector smooth transition autoregressive models with applications (2014, background): “For a recent survey of vector TAR and STAR models, see Hubrich and Teräsvirta (2013).”