We suggest to use information from the state register of personal cars as an alternative indicator of economic inequality in countries with a large share of shadow economy. We illustrate our approach using the Latvian pool of personal cars. Our main finding is that the extent of household...

The appropriately selected leading indicators can substantially improve the forecasting of the peaks and troughs of the business cycle. Using the novel methodology of the dynamic bi-factor model with Markov switching and the data for the three largest European economies (France, Germany, and UK)...

We suggest to use Internet car sale price advertisements for measuring economic inequality between and within German regions. Our estimates of regional income levels and Gini indices based on advertisements are highly, positively correlated with the official figures. This implies that the...

In this paper a dynamic bi-factor model with Markov switching is proposed to measure and predict turning points of the German business cycle. It estimates simultaneously the composite leading indicator (CLI) and composite coincident indicator (CCI) together with corresponding probabilities of...