Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date. This approach is based on the premise that demand for crude oil derives...

Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date. This approach is based on the premise that demand for crude oil derives...

This study analyzes the size and power of tests of the null of stationarity against the unit root alternative. Existing evidence is limited to processes with roots between 0 and 0.7. In sharp contrast, virtually all applications of economic interest involve null hypotheses much closer to 1. We...

- It is well known that the asymptotic distribution of residual-based test statistics for normality may provide a poor approximation in finite samples. We propose the use of bootstrap critical values to improve small-sample performance and compare the accuracy of the asymptotic and bootstrap...

The conventional Edgeworth expansion view of bootstrap confidence intervals suggests that for the bootstrap to exceed the accuracy of the normal approximation one must bootstrap asymptotically pivotal statistics. This paper questions the basic premise of the asymptotic theory used to rationalize...

The half-life of deviations from purchasing power parity (PPP) plays a central role in the ongoing debate about the ability of macroeconomic models to account for the time series behavior of the real exchange rate. The main contribution of this paper is a general framework in which alternative...

The origins of stagflation and the possibility of its recurrence continue to be an important concern among policymakers and in the popular press. It is common to associate the origins of the Great Stagflation of the 1970s with the two major oil price increases of 1973/74 and 1979/80. This paper...

In recent years, there has been increasing interest in nonparametric bootstrap inference for economic time series. Nonparametric resampling techniques help protect against overly optimistic inference in time series models of unknown structure. They are particularly useful for evaluating the fit...

We study the reliability of the estimated responses of major economic aggregates to monetary policy shocks. We investigate the bias of the estimated impulse response functions and the reliability of their qualitative features such as their sign and shape and the timing of peaks and troughs. We...

There is a widespread tendency in the applied time series literature to interpret rejections of the unit root null hypothesis in favor of a trend stationary process with possible trend breaks as evidence that the data are better characterized as stationary about a broken trend. This...