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general equilibrium (DSGE) model in its usual form with full-information rational expectations and compare it with versions …
Persistent link: https://www.econbiz.de/10013177225
A common problem in estimating dynamic stochastic general equilibrium models is that the structural parameters of economic interest are only weakly identified. As a result, classical confidence sets and Bayesian credible sets will not coincide even asymptotically, and the mean, mode, or median...
Persistent link: https://www.econbiz.de/10011757054
stochastic general equilibrium (DSGE) model. We use the DSGE model priors to determine the moments of an independent Normal …-Wishart prior for the VAR parameters. Two hyper-parameters control the tightness of the DSGE-implied priors on the autoregressive … maximize the marginal likelihood of the Bayesian VAR provides a method for isolating subsets of DSGE parameter priors that are …
Persistent link: https://www.econbiz.de/10011886093
methodology of constructing Dynamic Stochastic General Equilibrium (DSGE) consistent prior distributions for Bayesian Vector … Ravenna (2007) regarding structural VAR (SVAR) models and the normal prior density of the DSGE parameter vector. In line with … used to rank competing DSGE theories that aim to explain the same observed data (Geweke, 2005). Finally, motivated by the …
Persistent link: https://www.econbiz.de/10010339762
We show that the minimum description length (MDL) criterion widely used to estimate lin- ear change-point (CP) models corresponds to the marginal likelihood of a Bayesian model with a specific class of prior distributions. This allows for results from the frequentist and Bayesian literatures to...
Persistent link: https://www.econbiz.de/10012846328
In the aftermath of the Global Financial Crisis, some risk management practitioners have advocated wider adoption of Bayesian inference to replace Value- at-Risk (VaR) models in order to minimize risk failures. Despite its limitations, the Bayesian methodology has significant advantages. Just...
Persistent link: https://www.econbiz.de/10014263882
We develop a generally applicable full-information inference method for heterogeneous agent models, combining aggregate time series data and repeated cross-sections of micro data. To handle unobserved aggregate state variables that affect cross-sectional distributions, we compute a numerically...
Persistent link: https://www.econbiz.de/10014536870
We develop a generally applicable full‐information inference method for heterogeneous agent models, combining aggregate time series data and repeated cross‐sections of micro data. To handle unobserved aggregate state variables that affect cross‐sectional distributions, we compute a...
Persistent link: https://www.econbiz.de/10014306350
distribution in the Bayesian framework or the joint asymptotic distribution possibly constructed with bootstrap methods in the …
Persistent link: https://www.econbiz.de/10010233995
distribution in the Bayesian framework or the joint asymptotic distribution possibly constructed with bootstrap methods in the …
Persistent link: https://www.econbiz.de/10010230560