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BAYESIAN MODEL SELECTION AND FORECASTING IN NONCAUSAL AUTOREGRESSIVE MODELS (...
In this paper, we propose a Bayesian estimation and forecasting procedure for noncausal autoregressive (AR) models. Specifically, we derive the joint posterior density of the... -
Convergence in European GDP series: a multivariate common converging trend–cy...
Convergence in the gross domestic product series of five European countries is empirically identified using multivariate time series models that are based on unobserved... -
The asymmetric effects of uncertainty on inflation and output growth (replica...
We study the effects of growth volatility and inflation volatility on average rates of output growth and inflation for post-war US data. Our results suggest that increased... -
Neighbourhood effects and housing demand (replication data)
In this paper, we estimate a model of housing demand with neighbourhood effects. We exploit special features of the national sample of the American Housing Survey and properties... -
GO-GARCH: a multivariate generalized orthogonal GARCH model (replication data)
Multivariate GARCH specifications are typically determined by means of practical considerations such as the ease of estimation, which often results in a serious loss of... -
Modelling and forecasting level shifts in absolute returns (replication data)
Due to high and low volatility periods, time series of absolute returns experience temporary level shifts which differ in length and size. In this paper we modify the basic... -
Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte...
Theoretical and practical interest in non-linear time series models, particularly regime switching models, have increased substantially in recent years. Given the abundant... -
Tests for multiple forecast encompassing (replication data)
In the evaluation of economic forecasts, it is frequently the case that comparisons are made between a number of competing predictors. A natural question to ask in such contexts...
