We evaluate the usefulness of satellite-based data on nighttime lights for the prediction of annual GDP growth across a global sample of countries. Going beyond traditional measures of luminosity, such as the sum of lights within a country's borders, we propose several innovative distribution-...

We apply the novel approach of Siliverstovs (2015) to modelling data sampled at different frequencies in order to scrutinise the composition of one of the most influential economic indicators in Switzerland. The Purchasing Managers' Index consists of eight sub-indices out of which only five...

Google Trends have become a popular data source for social science research. We show that for small countries or sub-national regions like U.S. states, underlying sampling noise in Google Trends can be substantial. The data may therefore be unreliable for time series analysis and is furthermore...

This paper presents a coincident and a leading composite monthly indicator for the world business cycle - the Global Economic Barometers. Both target the world’s output growth rate cycle. The calculation of these indicators comprises two main stages. The first consists of a variable selection...

In this paper we present and describe the revised version of the KOF Globalisation Index, a composite index measuring globalisation for every country in the world along the economic, social and political dimension. The original index was introduced by Dreher (2006) and updated in Dreher et al....

This paper presents a composite leading indicator for the Swiss business cycle corresponding to the growth rate cycle concept. It is the result of a complete overhaul of the KOF Economic Barometer that has been published by the KOF Swiss Economic Institute on a monthly basis since 1976. In line...

We investigate how firms' market power affects the price level. In our small macro-model we show, that firms - in addition to hypothesised structural mark-up pricing power - may take advantage of favourable business cycle fluctuations. The paper provides empirical evidence for both these...

Measuring economic activity in real-time is a crucial issue in applied research and in the decision-making process of policy makers; however, it also poses intricate challenges to statistical filtering methods that are built to operate optimally under the auspices of an infinite number of...