We conduct Monte Carlo simulations to investigate the effects of outlier observations on the properties of linearity tests against threshold autoregressive (TAR) processes. By considering different specifications and levels of persistence of the data generating processes, we find that outliers...

This paper investigates the extent to which modern DSGE models, which feature local currency pricing, home bias, nontraded goods, and incomplete markets, can generate nonlinear real exchange rate dynamics that are consistent with those found in the time series literature using data from the...

This paper incorporates heterogeneous agents into a NNS model with nominal inertia. Heterogeneous households are introduced into NNS models to try and reconcile the movements in interest rates, consumption and inflation. The key findings here are that heterogeneity and wage inertia are needed to...

A recent innovation in modelling exchange rates has been the use of nonlinear techniques such as threshold autoregressive models and its smooth transition variants. This article investigates the Smooth Transition Autoregressive (STAR) modelling strategy in an application to real exchange rates....

This paper investigates the extent to which modern DSGE models, which feature local currency pricing, home bias, nontraded goods and incomplete markets, can generate nonlinear real exchange rate dynamics that are consistent with those found in the time series literature using data from the...

This paper examines the impact of time averaging and interval sampling data assuming that the data generating process for a given series follows a random walk with uncorrelated increments. We provide expressions for the corresponding variances, and covariances, for both the levels and...