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,...

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...

We have constructed a financial conditions index for Norway (FCIN). The FCIN offers a daily update on Norwegian financial conditions based on data from January 2003 on bank lending rates, bond spreads, the foreign exchange market, the stock market and the housing market. The index is constructed...

Die vorliegende Studie wurde im Rahmen der Projektarbeiten zur Vorbereitung des zweiten Nationalen Allokationsplans des Großherzogtums Luxemburg erstellt. Zunächst wird die Entwicklung der CO2-Emissionen für die Periode von 2008 bis 2012 prognostiziert und anschließend eine Quantifizierung...

In this paper we provide an overview of the growth model in China and its prospects, taking a medium-run to long-run perspective. Our main conclusions are as follows. First, the still prevailing producer-biased model of managed capitalism in China tends to engender, as an inherent byproduct,...

Durch Bereitstellung von Krediten tragen Banken zur Transformation von Finanzkapital in Sachkapital bei. Die Kreditvergabepolitik der Schweizer Banken hat sich im vergangenen Vierteljahrhundert stark gewandelt. Basierend auf einem Datensatz (1987-2012) mit bankengruppenspezifischen Bilanzdaten...

In this paper we describe Norges Bank's system for averaging models (SAM) which produces model-based density forecasts for Norwegian Mainland GDP and inflation. We combine the forecasts from three main types of models typically used at central banks: Vector autoregressive models, leading...

This paper presents a framework for quantifying uncertainty around point forecasts for GDP, inflation and house prices in Norway. The framework combines quantile regressions using a broad set of uncertainty indicators with a skewed t-distribution, allowing for time-variation and asymmetry in the...