We propose Bayesian inference in hazard regression models where the baseline hazard is unknown, covariate effects are possibly age-varying (non-proportional), and there is multiplicative frailty with arbitrary distribution. Our framework incorporates a wide variety of order restrictions on...

In this paper a simple New-Keynesian DSGE model is derived and then estimated for the Romanian economy. Some parameters are calibrated and others are estimated on Romania’s data using Bayesian techniques. The model fit is evaluated and the effects of different types of shock are presented.

In this paper, we study main problems and practical issues of modeling and forecasting of macroeconomic variables in the national economy. For that, we employ astructural VAR models and estimate interdependencies among different economic variables. Initial data analysis of macroeconomic...

There is a vast literature that specifies Bayesian shrinkage priors for vector autoregressions (VARs) of possibly large dimensions. In this paper I argue that many of these priors are not appropriate for multi-country settings, which motivates me to develop priors for panel VARs (PVARs). The...

In this study, we investigate forecasting performance of various univariate and multivariate models in predicting inflation for different horizons. We design our forecast experiment for the post-oil boom years of 2010-2014 and compare forecasting ability of the different models with that of...

This paper proposes a new approach to strategic asset allocation for central banks’ management of foreign reserves. This eclectic approach combines the behavioural portfolio management in the framework of mean-variance mental accounting (MVMA) with the improvements on asset return forecast...

This paper assesses the ability of different models to forecast key real and nominal U.S. monthly macroeconomic variables in a data-rich environment and from the perspective of a real-time forecaster, i.e. taking into account the real-time data revisions process and data flow. We find that for...

This paper estimates a stylized search and matching model on data for Australia covering the period 1978-2008. Using Bayesian methods we find that the model does a fairly good job in replicating the data. Surprisingly, we find a large value for the worker’s bargaining power and low vacancy...

We propose the unified approach to construct the non–informative prior for time–series econometric models that are invariant under some group of transformations. We show that this invariance property characterizes some of the most popular models hence the applicability of the proposed...

In this article the theoretical analysis and practical application of Bayesian approach for vector autoregressive model parameters estimation with different priors have been peformed. The time series was from 2001Q1 to 2010Q4 and included the following variables: GDP, CPI, exchange rate,...