We discuss a method to estimate the confidence bounds for average economic growth, which is robust to misspecification of the unit root property of a given time series. We derive asymptotic theory for the consequences of such misspecification. Our empirical method amounts to an implementation of...

In this paper we investigate whether or not the recently developed class of tests of the unit root null against the alternative of a stochastic unit root forms a useful statistical tool in distinguishing between time series processes whose degree of persistence is no more than that of a unit...

type="main" xml:lang="en" <title type="main">Abstract</title> <p>We propose an iterative decomposition that tests and accounts for multiple structural breaks in the mean, seasonality, dynamics and conditional volatility, while also accounting for outliers. Considering each component separately within each iteration leads to...</p>

Nonlinear time series models have become fashionable tools to describe and forecast a variety of economic time series. A closer look at reported empirical studies, however, reveals that these models apparently fit well in-sample, but rarely show a substantial improvement in out-of-sample...

In this paper, the authors analyze a model selection strategy for periodic autoregressive time-series processes. It involves autoregressive order selection and tests for unit roots at the (non-)seasonal frequencies. The strategy is evaluated using Monte Carlo replications and it is applied to...

Seasonal adjustment methods transform observed time series data into estimated data, where these estimated data are constructed such that they show no or almost no seasonal variation. An advantage of model-based methods is that these can provide confidence intervals around the seasonally...