The method of model averaging has become an important tool to deal with model
uncertainty, for example in situations where a large amount of different theories exist, as are …

This paper investigates variable selection in the spatial autoregressive model with
independent and identical distributed errors. A penalized quasi-maximum likelihood method …

The goal of this study is to examine the effects of investment in human capital, as funded by
EU cohesion policy, on economic development in Poland at the local (LAU 2) level, that is, at …

This paper studies the joint dynamics of foreign direct investments (FDI) and output growth in
European regions by using spatially augmented systems of equations modeling framework …

We analyze the spatial relationships of economic output dynamics in European regions from
2000 to 2019 using dynamic spatial autoregressive growth models. In contrast to previous …

In this paper, an updated approach to evaluate the contribution of demographic factors to
economic development is proposed. The forecasted shifts in public production were …

In this article, an updated approach to investigate the effects of demographic factors on
economic growth is proposed. The initial hypothesis was that these factors significantly …

The source of regional revenue is aimed at financing governance and development and to
improve the welfare and prosperity of the community. The purpose of this study is to examine …

Objective: The objective of the article is to identify the groups of regions characterised by a
similar level of human capital determinants and investigate the relationship between cluster …

In this paper, we analyse long-term changes in the regional distribution and migration flows
of university graduates in Finland and Sweden. This study is based on detailed longitudinal …