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...

This paper aims at constructing potential output and output gap measures for the United Kingdom which are pinned down by macroeconomic relationships as well as financial indicators. The exercise is based on a parsimonious unobserved components model which is estimated via Bayesian methods where...

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...

Using a small Bayesian dynamic factor model of the euro area we estimate the deviations of output from its trend that are consistent with the behavior of inflation. We label these deviations the output gap. In order to pin-down the features of the model, we evaluate the accuracy of real-time...

Output gaps for ten European countries and the USA are estimated based on a CES production function with input augmentation in technological progress. The substitution parameter is estimated from the coefficients of the labour and capital demand functions. Estimation is carried out using...

This paper proposes a new approach for estimating potential output and the NAIRU. The methodology models these key unobservable economic variables as latent stochastic trends within a trivariate system of observables comprising information on unemployment, GDP, and inflation. Identification is...

We incorporate adaptive learning-based inflation expectations in an Unobserved Components model in order to study the link between inflation and the output gap. The forward-looking New Keynesian Phillips curve serves as the backbone for modeling inflation dynamics. We find that learning based...