The paper introduces a nonlinear model that belongs to the STAR family of models. The main feature of the suggested Bi-parameter Smooth Transition AutoRegressive (BSTAR) model is that it allows for different speed of transition between the middle regime and each of the identical outer regimes....

In this paper, we investigate whether the Google search activity can help in nowcasting the year-on-year growth rates of monthly US private consumption using a real-time data set. The Google-based forecasts are compared to those based on a benchmark AR(1) model and the models including the...

The Google Insights data are a collection of recorded Internet searches for a huge number of the keywords, which are available since January 2004. These searches represent a kind of revealed perceptions of Internet users, which are a (possibly not entirely representative) sample of the general...

In this study we suggest a chronology of the classical business cycle in Switzerland. To this end we use two approaches: the approach of Artis et al. (2004) and an approach based on Markov-switching models (Hamilton, 1989). Our results show that similar conclusions can be reached by applying the...

In this study we construct the R(ecession)-word index for Switzerland. To the best of our knowledge, this has never been done before. We evaluate the extent to which the inclusion of the index contributes to more accurate forecasts of GDP growth compared with a benchmark auto-regressive model....

This study addresses price convergence in two cities in Turkey (Istanbul and Ankara) using the annual data over the three quarters of the 20th century (1922–1998), characterized by prevailing high inflation rates for most of the period. In contrast to the rest of the literature addressing...

This study investigates the usefulness of the business tendency surveys collected at the KOF institute for short-term forecasting of employment in Switzerland aggregated in the KOF Employment Indicator. We use the real time dataset in order to simulate the actual predictive process using only...

In this paper, we address the issue of spurious correlation in the production of health in a systematic way. Spurious correlation entails the risk of linking health status to medical (and nonmedical) inputs when no links exist. This note first presents the bounds testing procedure as a method to...

The Google Insights data are a collection of recorded Internet searches for a huge number of the keywords, which are available since January 2004. These searches represent a kind of revealed perceptions of Internet users, which are a (possibly not entirely representative) sample of the general...

On the basis of keyword searches in newspaper articles several versions of the Recession-word Index (RWI) are constructed for Germany and Switzerland. We use these indices in order to track the business cycle dynamics in these two countries. Our main findings are the following. First, we show...