2021
DOI: 10.1007/s10614-021-10200-y
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DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors

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Cited by 4 publications
(3 citation statements)
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“…Importantly, the added value of SVO also holds up over a longer sample outside the recent COVID-19 episode, similar to an SV model with t-distributed errors. 9 The remainder of this paper proceeds as follows: Section 2 introduces the SVO model and alternative specifications to handle outliers, and describes their estimation. Section 3 describes the data used.…”
Section: Introductionmentioning
confidence: 99%
“…Importantly, the added value of SVO also holds up over a longer sample outside the recent COVID-19 episode, similar to an SV model with t-distributed errors. 9 The remainder of this paper proceeds as follows: Section 2 introduces the SVO model and alternative specifications to handle outliers, and describes their estimation. Section 3 describes the data used.…”
Section: Introductionmentioning
confidence: 99%
“…7 The prior mean of p j = 1/(4 • 12) implies about the same variance of o j,t in the SVO model as do our prior means of p j and d j in the SVO-t model for the combined outlier states o j,t • q j,t (see the supplementary online appendix). 8 The prior for Σ in the constant-variance model is uninformative; that is, we use an improper…”
Section: Discussionmentioning
confidence: 99%
“…The algorithm includes all of the same steps given in CCM (as corrected in Carriero, et al (2022)), except for necessary adjustments to account for the two alternative cases. For the constant-volatility model, an inverse-Wishart prior for Σ, with a (conditionally) conjugate inverse-Wishart updating step for the MCMC sampler, replaces the SV block of the model 8.…”
mentioning
confidence: 99%