This paper proposes methods for estimation and inference in multivariate, multi-quantile models. The theory can simultaneously accommodate models with multiple random variables, multiple confidence levels, and multiple lags of the associated quantiles. The proposed framework can be conveniently...

Unit root tests, seeking mean or trend reversion, are frequently applied to panel data. We show that more powerful variants of commonly applied tests are readily available. Moreover, power gains persist when the modifications are applied to bootstrap procedures that may be employed when...

We consider an experiment where we use the Taylor rule information set, inflation and the output gap, to predict the next change in monetary policy for the United Kingdom 1992 - 2000. To do this we use a limited dependent variable approach, where the next rate change could be `upwards',...

Although the t-ratio variant of the Dickey-Fuller test is the most commonly applied unit-root test in practical applications, it has been known for some time that readily implementable, more powerful modifications are available. We explore the large-sample properties of five of these modified...

Making accurate forecasts of the future direction of interest rates is a vital element when making economic decisions. The focus on central banks as they make decisions about the future direction of interest rates requires the forecaster to assess the likely outcome of committee decisions based...

In this paper, we show that spurious cointegration can occur when there are breaks in the variances of the innovation errors of time series, especially when the breaks occur early in the sample period. An empirical example is provided to demonstrate the case.

This paper uses a new data set from three Eastern European countries (Czech Republic, Slovakia and Slovenia) to investigate whether the so-called calendar effects are present in the newly developing financial markets in those countries. Five calendar effects are examined in both mean by OLS...