This paper highlights the implications for EU macroeconomic policy at a relatively disaggregated level when key economic relationships are nonlinear or asymmetric.Using data for the EU and OECD countries we show that there are considerable non-linearities and asymmetries in the Phillips and Okun...

The article summarizes the Czech Economic Association's seminar on Chaos Theory,"" held in May 2000. The main speaker, Pavel Kohout (PPF, a.s., Prague), presented several examples of how chaos theory can be used toward modeling the economy and, in particular, financial markets. He also spoke of...

We develop nonlinear leading indicator models for GDP growth, with the interest rate spread and growth in M2 as leading indicators. Since policy makers are typically interested in whether or not a recession is imminent, we evaluate these models according to their ability to predict the...

This paper highlights the implications for EU macroeconomic policy at a relatively disaggregated level when key economic relationships are nonlinear or asymmetric. Using data for the EU and OECD countries we show that there are considerable non-linearities and asymmetries in the Phillips and...

In this paper we introduce a structural non-linear time series model for joint estimation of capacity and its utilisation, thereby providing the statistical underpinnings to a measurement problem that has received ad hoc solutions, often underlying arbitrary assumptions. The model we propose is...

We carry out a meta-analysis on the frequency of unit-roots in macroeconomic time series with a dataset covering 249 variables for the G7 countries. We use linear tests and the three popular non-linear tests (TAR, ESTAR and Markov Switching). In general, the evidence in favour of the random walk...

In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk, autoregressive moving average and generalised autoregressive conditional heteroskedasticity models. There are no guidelines available that can be used to choose the parameters...

In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk, autoregressive moving average and generalised autoregressive conditional heteroskedasticity models. There are no guidelines available that can be used to choose the parameters...

This paper introduces econometric modelling with discrete (categorical) dependent variables. Such models, commonly referred to as qualitative response (QR) models, have become a standard tool of microeconometric analysis. Microeconometric research represents empirical analysis of microdata, i.e....