A time series model in which the signal is buried in non-Gaussian noise may throw up observations that are outliers when judged by the Gaussian yardstick. We describe an observation-driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which the signal...

A standard model-based trend-cycle decomposition of Italian GDP yields a likelihood function that is relatively flat and has two local maxima. A Bayesian estimation of the model identifies output gap and trend components that match the features of the Italian business cycle well. In a bivariate...

We compare two EGARCH models, which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a...

The aim of the paper is to estimate a reliable quarterly time-series of potential output for the Italian economy,exploiting four alternative approaches: a Bayesian unobserved component method, a univariate time-varying autoregressive model, a production function approach and a structural VAR....

type="main" xml:id="jtsa12081-abs-0001"A time-series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers. We describe an observation-driven model, based on an exponential generalized beta...

We probe the scope for reacting to house prices in simple and implementable monetary policy rules, using a New Keynesian model with a housing sector and financial frictions on the household side. We show that the social welfare maximizing monetary policy rule features a reaction to house price...

There is much confusion in the economics literature on wage determination and the employment–inflation trade-off. Few model builders pay as much careful attention to the definition and meaning of long-run concepts as did Albert Ando. Expanding on years of painstaking work by Ando, the...

Policy evaluation based on the estimation of dynamic stochastic general equilibrium models rests on the assumption that a representative agent can be identified, whose behavioural parameters are policy-independent. Building on earlier work by Geweke [1985], this paper shows that in the presence...