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Identifying long-run risks : a Bayesian mixed-frequency approach
Schorfheide, Frank; Song, Dongho; Yaron, Amir - 2014
Persistent link: https://www.econbiz.de/10010392642
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Identifying long-run risks : a Bayesian mixed-frequency approach
Schorfheide, Frank; Song, Dongho; Yaron, Amir - 2014 - This version: June 24, 2014
Persistent link: https://www.econbiz.de/10010484306
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Bond risk premiums at the zero lower bound
Andreasen, Martin Møller; Jørgensen, Kasper; Meldrum, … - 2019
Persistent link: https://www.econbiz.de/10012063987
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Export-output growth nexus using threshold VAR and VEC models : empirical evidence from Thailand
Arisara Romyen; Liu, Jianxu; Songsak Sriboonchitta - In: Economies : open access journal 7 (2019) 2/60, pp. 1-16
This paper explores the relationship between export, import, and output for Thailand over the period from 1990 to 2017. The threshold vector autoregressive (VAR) and threshold vector error correction (VEC) models were applied. The empirical evidence confirms that the export-led growth hypothesis...
Persistent link: https://www.econbiz.de/10012021578
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Identifying Long-Run Risks : A Bayesian Mixed-Frequency Approach
Schorfheide, Frank - 2013
consumption and dividend growth and multiple stochastic volatility processes. The estimation is based on annual consumption data … the volatility processes. Our Bayesian estimation provides strong evidence for a small predictable component in … consumption growth (even if asset return data are omitted from the estimation). Three independent volatility processes capture …
Persistent link: https://www.econbiz.de/10013075459
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Identifying Long-Run Risks : A Bayesian Mixed-Frequency Approach
Schorfheide, Frank - 2014
multiple stochastic volatility processes. The estimation is based on annual consumption data from 1929 to 1959, monthly … Bayesian estimation provides strong evidence for a small predictable component in consumption growth (even if asset return data … are omitted from the estimation). Three independent volatility processes capture different frequency dynamics; our …
Persistent link: https://www.econbiz.de/10013050301
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Efficient estimation of conditionally linear and Gaussian state space models
Moura, Guilherme Valle; Turatti, Douglas Eduardo - In: Economics letters 124 (2014) 3, pp. 494-499
Persistent link: https://www.econbiz.de/10010495099
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Inference for nonlinear state space models : a comparison of different methods applied to Markov-switching multifractal models
Lux, Thomas - 2018
Nonlinear, non-Gaussian state space models have found wide applications in many areas. Since such models usually do not allow for an analytical representation of their likelihood function, sequential Monte Carlo or particle filter methods are mostly applied to estimate their parameters. Since...
Persistent link: https://www.econbiz.de/10011891373
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The stochastic volatility in mean model with time-varying parameters : an application to inflation modeling
Chan, Joshua - In: Journal of business & economic statistics : JBES ; a … 35 (2017) 1, pp. 17-28
Persistent link: https://www.econbiz.de/10011704092
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Identifying Long-Run Risks : A Bayesian Mixed-Frequency Approach
Schorfheide, Frank - 2014
multiple stochastic volatility processes. The estimation is based on annual consumption data from 1929 to 1959, monthly … Bayesian estimation provides strong evidence for a small predictable component in consumption growth (even if asset return data … are omitted from the estimation). Three independent volatility processes capture different frequency dynamics; our …
Persistent link: https://www.econbiz.de/10012458363