Public sector organizations are important producers of the core geographic information (GI). Data sharing is aggravated by e.g. highly varying policies to sharing and pricing the data. For instance, since the governmental data producer sets the price level high, it seems to restrict innovative...

Public sector organizations are important producers of the core geographic information (GI). Data sharing is aggravated by e.g. highly varying policies to sharing and pricing the data. For instance, since the governmental data producer sets the price level high, it seems to restrict innovative...

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...

Translation of 'Soft-wars' by Teppo Saari (Finnish): Pääoma valtana -viitekehys, jonka on kehittänyt Jonathan Nitzan ja Shimshon Bichler, esittää että liiketoiminnan tavoite ei ole ‘liikevoiton maksimointi’ vaan differentiaalinen yhteiskunnallisen vallan akkumulointi. Tätä...

The study analyses the financial framework of the European Union in 2014-2020 and the prospects of Finland in this framework. The study is structured according to budget headlines the most central of which are the natural resources (agriculture and rural development), cohesion (regional and...

In Finland, universities have the explicit mandate to support the transformation of high-quality knowledge into profitable business, as well as to promote the creation of new businesses and workplaces within the boundaries of their so-called third mission. This report looks at how Finnish...

The study analyses the financial framework of the European Union in 2014-2020 and the prospects of Finland in this framework. The study is structured according to budget headlines the most central of which are the natural resources (agriculture and rural development), cohesion (regional and...

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,...