This paper is a comprehensive analysis of Hungary’s potential output. Since the concept of potential output is not unique, we present various interpretations of potential GDP, along with a large set of techniques for estimating it. Various estimates are presented and robustness analyses are...

The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement...

The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement...

One of the main indicators of inflationary pressures used by the Reserve Bank of New Zealand is the output gap. A measure of potential output is obtained using a structural vector autoregression (SVAR) methodology. The assumption that movements in output are the result of cyclical shocks arising...

This paper investigates the impacts and responses of macroeconomic shocks in some domestic economies in Sub-Saharan Africa over the period 1961-99; more specifically, it seeks to answer the question of whether there are any systematic differences in the responses of the CFA franc zones and the...

A central question for monetary policy is how asset prices respond to a monetary policy shock. We provide evidence on this issue by augmenting a monetary SVAR for US data with an asset price index, using set-identifying structural restrictions. The impulse responses show a positive asset price...

We propose a statistical identification procedure for structural vector autoregressive (VAR) models that present a nonlinear dependence (at least) at the contemporaneous level. By applying and adapting results from the literature on causal discovery with continuous additive noise models to...

The study analyses the business cycles of the G7 countries in a structural vector autoregression(SVAR) framework comprising output, nominal interest rate and inflation. Common and country-specific supply, demand and nominal shocks of each G7 country are identified, and the corresponding shock...

We forecast recession probabilities for the United States, Germany and Japan. The predictions are based on the widely-used probit approach, but the dynamics of regressors are endogenized using a VAR. The combined model is called a 'ProbVAR'. At any point in time, the ProbVAR allows to generate...

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-step ahead forecasts. In the empirical...