In this paper we derive tests for parameter constancy when the data generating process is non-stationary against the hypothesis that the parameters of the model change smoothly over time. To obtain the asymptotic distributions of the tests we generalize many theoretical results, as well as new...

We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied to discriminate between stochastic and...

This study offers a novel examination of the mean-reversion properties of the current account balances, expressed as a percentage of GDP, for the Asian-5 economies: Indonesia, Korea, Malaysia, the Philippines, and Thailand. While prior studies mainly employed traditional unit-root tests, our...

A particular version of the tests of Robinson (1994) for testing stochastic cycles in macroeconomic time series is proposed in this article. The tests have a standard limit distribution and are easy to implement in raw time series. A Monte Carlo experiment is conducted, studying the size and the...

This study investigates the stationary behavior of the inlation rates for the Euro-zone members and some neighboring countries, for the 1957:2 to 2007:3 period. The analysis uses univariate unit root tests with enhanced small-sample performances that allow up to two breaks in the intercept,...

While differencing transformations can eliminate nonstationarity, they typically reduce signal strength and correspondingly reduce rates of convergence in unit root autoregressions. The present paper shows that aggregating moment conditions that are formulated in differences provides an orderly...