Vector smooth transition regression models for US GDP and the composite index of leading indicators
By Máximo Camacho. 2004
112 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/a8cc74f355bb60f982411a907fb04faeb59b3366
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In Economics and Econometrics
- Rangan Gupta
- Elie Bouri
- David Roubaud
- Mahamitra Das
- K. Hubrich
- Yukai Yang
- Timo Teräsvirta
- Andrew Urquhart
Citations in the corpus
- Linearity and misspecification tests for vector smooth transition regression models (2014, methodology): “The first one of these has already been considered in the bivariate case by Camacho (2004).”
- Specification, estimation and evaluation of vector smooth transition autoregressive models with applications (2014, methodology): “Parameter estimation is carried out by nonlinear least squares, and a major tool at the evaluation stage is a set of misspecification tests as in Teräsvirta (1996), Teräsvirta (1998) and Camacho (2004). The dynamic behaviour of the model is characterised by generalised impulse response functions. Th”
- Spillovers between Bitcoin and other assets during bear and bull markets (2018, methodology): “In the spirit of Tsay’s (1989) seminal methodology, Camacho (2004) proposed a step-wise procedure to model the nonlinear VAR model with a smooth transition specification.”
- THRESHOLDS AND SMOOTH TRANSITIONS IN VECTOR AUTOREGRESSIVE MODELS (2013, methodology): “where ηt ∼ iidN (0,Ση); see Camacho (2004) or Yang and Teräsvirta (2013). Under the null hypothesis, Λj = 0, j = 1, ..., q. If the corresponding hypothesis is tested equation by equation, the contemporaneous cross-correlations between errors are ignored. The tests of no additive nonlinearity and par”