Choosing between identification schemes in noisy-news models
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Publication:2700532
DOI10.1515/snde-2020-0016OpenAlexW3089390368MaRDI QIDQ2700532
Gary Koop, Joshua C. C. Chan, Eric Eisenstat
Publication date: 27 April 2023
Published in: Studies in Nonlinear Dynamics and Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/snde-2020-0016
Bayesian estimationstructural identificationSavage-Dickey density ratiovector autoregressive moving average modelsnoise shocks
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
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- A Bayesian analysis of the multinomial probit model using marginal data augmentation
- Large Bayesian VARMAs
- Bayesian stochastic search for VAR model restrictions
- Forecasting using a large number of predictors: is Bayesian shrinkage a valid alternative to principal components?
- Bayesian model averaging in the instrumental variable regression model
- On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
- Bayes factors and nonlinearity: Evidence from economic time series
- VAR analysis, nonfundamental representations, Blaschke matrices
- Business cycle analysis without much theory: A look at structural VARs
- Identifying noise shocks
- On the Factorization of Rational Discrete-Time Spectral Densities
- Efficient Posterior Simulation for Cointegrated Models with Priors on the Cointegration Space
- Seeking efficient data augmentation schemes via conditional and marginal augmentation
- Bayesian semiparametric inference for the accelerated failure‐time model
- Parameter Expansion for Data Augmentation
- Bayesian inference on structural impulse response functions
- Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
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