Large scale, computationally expensive simulation models pose a particular challenge when it comes to estimating their parameters from empirical data. Most simulation models do not possess closed form expressions for their likelihood function, requiring the use of simulation-based inference,...

The hedge fund represents a unique investment opportunity for the institutional and private investors in the diffusion-type financial systems. The main objective of this condensed article is to research the hedge fund’s optimal investment portfolio strategies selection in the global capital...

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...

In this study, an output gap measure is derived for the Turkish economy using an estimated New Keynesian model. Considering the ongoing structural transformation during the last decade, the model is estimated for 2002-2010 period using Bayesian techniques. The results indicate that output, which...

This study attempts to infer the length of aggregate time-to-build period by estimating DSGE models with different investment lags and comparing their fits to the data. The models considered in this study use two, four, six, and eight quarters of investment lags. The Bayesian estimation result...

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 markup...

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 markup...

Bayesian approaches to the estimation of DSGE models are becoming increasingly popular. Prior knowledge is normally formalized either directly on deep parameters' values (‘microprior’) or indirectly, on macroeconomic indicators, e.g. moments of observable variables (‘macroprior’). We...

This paper estimates the elasticity of labor productivity with respect to employment density, a widely used measure of the agglomeration effect, in the Yangtze River Delta, China. A spatial Durbin model is presented that makes explicit the influences of spatial dependence and endogeneity bias in...

This paper analyses the empirical performance of a New Keynesian stickyprice model with delayed effects of monetary impulses on inflation and output for the German pre-EMU economy. The model is augmented with rule-ofthumb behaviour in consumption and price setting. Using recently developed...