Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...

In this paper we compare alternative approaches for the construction of time series of macroeconomic variables for Unified Germany prior to 1991, and then use them for the construction of corresponding time series for the euro area. The resulting series for Germany and the euro area are compared...

This paper investigates the impact of global value chains on energy footprints. Energy footprints are consumption-based indicators which record the energy used to produce a country's final demand. In order to disentangle key characteristics of global value chains and their effects on the global...

This paper investigates the impact of global value chains on energy footprints. Energy footprints are consumption-based indicators which record the energy used to produce a country's final demand. In order to disentangle key characteristics of global value chains and their effects on the global...

This paper presents a novel logarithmic mean Divisia index (LMDI) decomposition framework that is tailor-made for unit cost indicators. It adds four new models to the existing LMDI model family. The main novelty of the new framework lies in the separation of quantity and price effects captured...

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...

The share of private consumption in gross domestic product is significant; therefore, private consumption has a great influence on economic growth, which makes it a major concept in economics. The purpose of the paper is to estimate and evaluate different forecasting models for private...

This report examines whether Google search queries can be used to predict the present and the near future house prices in Finland. Compared to a simple benchmark model, Google searches improve the prediction of the present house price index by 7.5 % measured by mean absolute error. In addition,...

Unit labour costs (ULCs) are one of the key economic variables considered in the context of globalization, competitiveness and production-location decisions. With the EU accession of eight Central and East European countries and their (almost) full inclusion in the European Single Market, the...