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...

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,...

We examine the role of demographics on the housing market in the Helsinki Metropolitan Area (HMA) using the Mankiw and Weil (1989) approach. First, we estimate housing demand for each age group in HMA using cross section data and find that it increases from childhood to the age 70-74 years. This...