Bayesian approaches to the estimation of DSGE models are becoming increasingly popular. Prior knowledge is normally formalized either be information concerning deep parameters’ values (‘microprior’) or some macroeconomic indicator, e.g. moments of observable variables (‘macroprior’)....

This contribution reveals some structural properties of the Czech and Slovak labour markets. A search and matching model incorporated into a small standard DSGE model is estimated using Bayesian techniques. Two sources of rigidities are implemented: wage bargaining mechanism and “search and...

This paper studies how well a simple search and matching model can describe aggregate Japanese labor market dynamics in a full information setting. We develop a discrete-time search and matching model with a convex vacancy posting cost and three shocks: productivity, separation, and mark-up...

This paper introduces heterogeneous households into an otherwise standard sticky-price model with industry-specific labor markets. Households differ in labor incomes and asset markets are incomplete. I show that household heterogeneity affects equilibrium dynamics nontrivially by amplifying...

We develop a general equilibrium model to study the historical contribution of TFP news to the U.S. business cycle. Hiring frictions provide incentives for firms to start hiring ahead of an anticipated improvement in technology. For plausibly calibrated hiring costs, employment gradually rises...

This paper presents the European Commission's Global Multi-country model (the GM model). The GM model is an estimated multi-country DSGE model, developed by the European Commission, that can be used for spillover analysis, forecasting and medium term projections. Its development is jointly...

In this paper, we use Monte Carlo methods to study the small sample properties of the classical maximum likelihood (ML) estimator in artificial samples generated by the New-Keynesian open economy DSGE model estimated by Adolfson et al. (2008) with Bayesian techniques. While asymptotic...

This paper uses Bayesian techniques and Maltese data over the period 2001-2019 to estimate the parameters of MEDSEA-FIN, one of the Central Bank of Malta's DSGE models. The model captures linkages between the housing sector, banks and the rest of the economy via a borrowing collateral...

The paper deals with a baseline New Keynesian DSGE model for a closed economy. The model follows the concept of the New Open Economy Macroeconomics based on microeconomic foundations enriched with real and nominal rigidities. It is estimated with Bayesian technique using quarterly Eurozone data....

We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...