This study gauges Finnish people's knowledge about pensions and their trust in the pension system. A further aim is to see if knowledge and trust are related and to explore the role of sociodemographic factors in that relationship. We examine both self-assessed and objective knowledge of pension...

This paper examines differences in the outcomes of moving between married and unmarried individuals. Even if Amigration would be optimal for the family, it can be sub-optimal for one of the spouses. Unattached individuals instead, simply maximise their own personal welfare, and thus they should...

This study uses a large individual-level dataset to investigate rural in-migration. Two separate samples are used: one consists of migrants and non-migrants, while the other contains only migrants. Empirical analyses are carried out using multinomial logit and logit models. First, rural...

This study examines urban and rural destined/originated migration in Finland in 1996-1999 using a large micro-level data set. Three conclusions stand out from the results. Firstly, migrants not only differ from stayers but there are also many differences between migrants from and to rural and...

This paper examines differences in the outcomes of moving between married and unmarried individuals. Even if Amigration would be optimal for the family, it can be sub-optimal for one of the spouses. Unattached individuals instead, simply maximise their own personal welfare, and thus they should...

Nivalainen S. (2005) Interregional migration and post-move employment in two-earner families: evidence from Finland, Regional Studies 39 , 891-907. This paper investigates the post-move employment of men and women in Finnish two-earner families, taking account of selection bias and...

This study uses a large individual-level dataset to investigate rural in-migration. Two separate samples are used: one consists of migrants and non-migrants, while the other contains only migrants. Empirical analyses are carried out using multinomial logit and logit models. First, rural...