This paper focuses on developing a new data-driven procedure for decomposing seasonal time series based on local regression. Formula of the asymptotic optimal bandwidth hA in the current context is given. Methods for estimating the unknowns in hA are investigated. A data-driven algorithm for...

This paper summarizes recent developments in non- and semiparametric regres- sion with stationary fractional time series errors, where the error process may be short-range, long-range dependent or antipersistent. The trend function in this model is estimated nonparametrically, while the...

A data-driven optimal decomposition of time series with trend-cyclical and seasonal components as well as the estimation of derivatives of the trend-cyclical is considered. The time series is smoothed by locally weighted regression with polynomials and trigonometric functions as local...

We investigate whether differences in terrorism risk are mirrored on terrorism risk concern across European countries for the period 2003-2007. We find that the average propensity for terrorism risk concern is indeed affected by actual risk levels. Furthermore, country and individual...

Die gesamtwirtschaftliche Produktivitätsentwicklung in Deutschland ist nach dem Wiedervereinigungsboom im internationalen Vergleich deutlich eingebrochen. Nicht nur gegenüber den USA und Schwellenländern wie Südkorea, sondern auch im Vergleich zu anderen EU-Staaten fiel Deutschland seitdem...

Infra-monthly time series have increasingly appeared on the radar of official statistics in recent years, mostly as a consequence of a general digital transformation process and the outbreak of the COVID-19 pandemic in 2020. Many of those series are seasonal and thus in need for seasonal...

The house price in Hong Kong is well-known to be "unaffordable." This paper argues that the commonly used house price-to-income ratio may be misleading in an economy with almost half of the population living in either public rental housing or subsidized ownership. Moreover, we re-focus on the...

In this paper we study time-varying coefficient models with time trend function and serially correlated errors to characterize nonlinear, nonstationary and trending phenomenon in time series. Compared with the Nadaraya-Watson method, the local linear approach is developed to estimate the time...