This paper focuses on Greek labour market dynamics at a regional base, which comprises of 16 provinces, as defined by NUTS levels 1 and 2 (Eurostat, 2008), using Markov Chains for proportions data for the first time in the literature. We apply a Bayesian approach, which employs a Monte Carlo...

This paper focuses on Greek labour market dynamics at a regional base, which comprises of 16 provinces, as defined by NUTS levels 1 and 2 (Eurostat, 2008), using Markov Chains for proportions data for the first time in the literature. We apply a Bayesian approach, which employs a Monte Carlo...

In this article we seek to estimate the Brazilian “Okun’s law” with quarterly data ranging from 1980Q1 until 2013Q3. Considering the typical Okun's relationship, Δu=α-βg_y, where β is the Okun coefficient, we have obtained estimates of β between -0.1878 and -0.2055, such values are in...

In this article we seek to estimate the Brazilian “Okun’s law” with quarterly data ranging from 1980Q1 until 2013Q3. Considering the typical Okun's relationship, Δu=α - βΔy, where “β” is the Okun coefficient, we have obtained estimates of β between -0.1878 and -0.2055, such...

Data on Google searches help predict the unemployment rate in the U.S. But the predictive power of Google searches is limited to short-term predictions, the value of Google data for forecasting purposes is episodic, and the improvements in forecasting accuracy are only modest. The results,...

In this paper a Bayesian vector autoregressive model for nowcasting the seasonally non-adjusted unemployment rate in EU-countries is developed. On top of the official statistical releases, the model utilizes Google search data and the effect of Google data on the forecasting performance of the...

There are over 3 billion searches globally on Google every day. This report examines whether Google search queries can be used to predict the present and the near future unemployment rate in Finland. Predicting the present and the near future is of interest, as the official records of the state...

In this report we document the ETLAnow project. ETLAnow is a model for forecasting with big data. At the moment, it predicts the unemployment rate in the EU-28 countries using Google search data. This document is subject to updates as the ETLAnow project advances.

Die demographische Alterung tritt in Deutschland derzeit in akute Phase ein, die insbesondere in den gesetzlichen Sozialversicherungen zu finanziellen Anspannungen führt und mittelbar auch Risiken für die Entwicklung des Bundeshaushalts erzeugt. Dies wird im vorliegenden Bericht mit Hilfe von...

Die demographische Alterung tritt in Deutschland aktuell in eine akute Phase, die unter dem derzeit geltenden Recht zu großen finanziellen Anspannungen in den gesetzlichen Sozialversicherungen führt und mittelbar auch Risiken für die Entwicklung des Bundeshaushalts erzeugt. Dies wird im...