Empirical modelling of internal migration and commuting flows for economic regions in Norway

This paper provides empirical results for internal migration and commuting flows using panel data for 89 economic regions in Norway for the years 2001-2014. The emphasis is on the potential effects of different incentive variables. We consider both in- and out-migration as well as in- and outcommuting with a common set of explanatory variables. We perform panel data analysis for four educational groups using seemingly unrelated regression (SUR) models, acknowledging that the effects of the incentive variables may vary across educational groups. Generally, we find weak responses to the incentive variables for the eight response variables, but they differ somewhat across the educational groups. The group comprised of those with a low education appears to be most responsive

Matrilineal diversity and population history of Norwegians

Background While well known for its Viking past, Norway's population history and the influences that have shaped its genetic diversity are less well understood. This is particularly true with respect to its demography, migration patterns, and dialectal regions, despite there being curated historical records for the past several centuries. In this study, we undertook an analysis of mitochondrial DNA (mtDNA) diversity within the country to elaborate this history from a matrilineal genetic perspective. Methods We aggregated 1174 partial modern Norwegian mtDNA sequences from the published literature and subjected them to detailed statistical and phylogenetic analysis by dialectal regions and localities. We further contextualized the matrilineal ancestry of modern Norwegians with data from Mesolithic, Iron Age, and historic period populations. Results Modern Norwegian mtDNAs fell into eight West Eurasian (N, HV, JT, I, U, K, X, W), five East Eurasian (A, F, G, N11, Z), and one African (L2) haplogroups. Pairwise analysis of molecular variance (AMOVA) estimates for all Norwegians indicated they were differentiated from each other at 1.68% (p < 0.001). Norwegians within the same dialectal region also showed genetic similarities to each other, although differences between subpopulations within dialectal regions were also observed. In addition, certain mtDNA lineages in modern Norwegians were also found among prehistoric and historic period populations, suggesting some level of genetic continuity over hundreds to many thousands of years. Conclusions This analysis of mtDNA diversity provides a detailed picture of the genetic variation within Norway in light of its topography, settlement history, and historical migrations over the past several centuries.publishedVersio

Empirical modelling of internal migration and commuting flows for economic regions in Norway

This paper provides empirical results for internal migration and commuting flows using panel data for 89 economic regions in Norway for the years 2001-2014. The emphasis is on the potential effects of different incentive variables. We consider both in- and out-migration as well as in- and outcommuting with a common set of explanatory variables. We perform panel data analysis for four educational groups using seemingly unrelated regression (SUR) models, acknowledging that the effects of the incentive variables may vary across educational groups. Generally, we find weak responses to the incentive variables for the eight response variables, but they differ somewhat across the educational groups. The group comprised of those with a low education appears to be most responsive

Childcare cash benefits and fertility timing in Norway

In 1998 a new cash benefit for parents with young children was introduced in Norway. Its purpose was to provide a cash payment to parents who either preferred to care for their children at home or to compensate those who were not offered external childcare provision. It has been argued that the new policy encouraged women to stay at home with their children, possibly reducing labour supply. The policy was consequently considered gender-biased, creating reduced incentives for women to participate in the labour market and therefore encouraging a more traditional division of labour of husbands and wives. Given this background of the policy, we undertake an analysis in two parts. We ask first the question “who takes the cash benefit?” Second, by applying simple matching techniques, we ask the question “Do couples taking the benefit behave differently in terms of their fertility timing?” Using information from Norwegian registers we find that more traditional households (in a broad sense) are more likely to take the cash benefit. Those taking the benefit accelerate childbearing significantly, though the reasons why they do so varies by socio-economic groups