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DSGE-based priors for BVARs & quasi-Bayesian DSGE estimation
2018We present a new method for estimating Bayesian vector autoregression (VAR) models using priors from a dynamic 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.
Filippeli, Thomai +2 more
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Carbon tax, economic uncertainty and tourism: A DSGE approach
Journal of Hospitality and Tourism Management, 2021Fangdong Cao, Yan Zhang, Jiekuan Zhang
semanticscholar +1 more source
Parallel Tempering for DSGE Estimation
Dans cette étude, j’élabore un algorithme de Monte-Carlo par chaînes de Markov (MCMC) fondé sur une population, soit une atténuation parallèle, pour estimer des modèles d’équilibre général dynamique et stochastique (EGDS). L’atténuation parallèle fait une approximation de la distribution d’intérêt a posteriori à l’aide d’une famille de chaînes de ...openaire +2 more sources
Estimating DSGE Models: Recent Advances and Future Challenges
Annual Review of Economics, 2021Jesus Fernandez-Villaverde +1 more
exaly
Credit and Banking in a DSGE Model of the Euro Area
, 2010Andrea Gerali +3 more
semanticscholar +1 more source
MARKUPS AND ENTRY IN A DSGE MODEL [PDF]
This paper provides a DSGE model with firm entry. Simulations show that the model matches the synchronization of markups and entry observed in the data while at the same time reproducing empirically plausible moments for key macroeconomic variables. Sticky prices are essential for these results.
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We explore this issue by estimating our RBC model on US and UK data.
Richard Harrison +3 more
openaire
Forecasting a Commodity-Exporting Small Open Developing Economy Using DSGE and DSGE-BVAR
International Economic Journal, 2023Erlan Konebayev
exaly
Forecasting crude oil prices with DSGE models
International Journal of Forecasting, 2021Michał Rubaszek
exaly

