We consider the problem of testing for unit roots at the zero and seasonal frequencies in time-series data which are recorded semi-annually. The proposed methodology follows that of Hylleberg et al. (1990) and Beaulieu and Miron (1993) for quarterly and monthly data respectively. The...

This paper considers unit root testing of time-series data with missing observations. Three procedures for dealing with the gaps are discussed. These include: ignoring the gaps, replacing the gaps with the last available observation, and filling the gaps with a linear interpolation method. The...

Using OECD data (1965-1994) for 22 selected countries, we test for tax burden and per capita GDP convergence based on a time series approach. We further examine the issue of a possible relationship existing between per capita GDP and tax burden convergence. Generally, the evidence from this...

In this paper, we estimate Okun's coefficients for ten Canadian provinces using real GDP and unemployment rate data across the provinces. We obtain an average estimated Okun's coefficient of -1.58 under the Hodrick-Prescott detrending method and -1.32 under the quadratic detrending method. There...

A spurious regression model is one in which the dependent and independent variables are non-stationary, but not cointegrated, and the data are not filtered (e.g., by differencing) before the model is estimated. It is well known that in this case the asymptotic behaviour of the least squares...

A “spurious regression” is one in which the time-series variables are non-stationary and independent. It is well-known that in this context the OLS parameter estimates and the R2 converge to functionals of Brownian motions; the “t-ratios” diverge in distribution; and the Durbin-Watson...