Evidence from Norway suggests that a rise in turnout not only benefits centre-left parties, but can also benefit the radical right

High turnout in European elections has often been assumed to favour parties on the left of the political spectrum, based on the assumption that they derive their support primarily from working class voters. Henning Finseraas and Kåre Vernby argue that this principle may no longer be valid due to the existence of new parties on the left and right of party systems, such as radical right parties which appeal to those in lower socio-economic groups. Using data from Norway, they illustrate that the right-wing Progress Party appears to benefit from high turnout as much as Norway’s centre-left Labour Party, while the country’s Socialist Left Party loses support when turnout rises

The Feasibility of Using Data-Driven Algorithmic Recommendations for Refugee Placement in Norway

A growing body of research suggests that refugees’ initial settlement area can have a long-run impact on subsequent integration outcomes. As a result, matching refugees and asylum seekers to initial locations where they are likely to succeed holds the potential to improve their labor market integration. In this report we focus on the GeoMatch algorithm, which is a recommendation tool that provides settlement officers with data-driven location recommendations for incoming refugees and asylum seekers. Leveraging machine learning on historical data, the tool predicts labor market outcomes for individuals across possible settlement areas. A flexible allocation algorithm then provides location recommendations for each family unit while taking capacity constraints into account. Drawing on administrative data from Statistics Norway and incorporating a set of realistic constraints, we find that using GeoMatch recommendations could improve refugees’ monthly earnings by up to 55% over baseline. The report ends with a discussion of how the tool can be implemented in the Norwegian context.The Feasibility of Using Data-Driven Algorithmic Recommendations for Refugee Placement in NorwaypublishedVersio

Ideological biases in research evaluations? The case of research on majority–minority relations

Social science researchers tend to express left-liberal political attitudes. The ideological skew might influence research evaluations, but empirical evidence is limited. We conducted a survey experiment where Norwegian researchers evaluated fictitious research on majority–minority relations. Within this field, social contact and conflict theories emphasize different aspects of majority–minority relations, where the former has a left-liberal leaning in its assumptions and implications. We randomized the conclusion of the research they evaluated so that the research supported one of the two perspectives. Although the research designs are the same, those receiving the social contact conclusion evaluate the quality and relevance of the design more favorably. We do not find similar differences in evaluations of a study on a nonpoliticized topic.Ideological biases in research evaluations? The case of research on majority–minority relationspublishedVersio

Lokalt etterspørselssjokk, mobilisering av arbeidskraft og trygdebruk

Sammendrag Tidligere forskning har vist at negative etterspørselssjokk som for eksempel bedriftsnedleggelser har ført til at strømmen til uførhet har økt. Disse resultatene indikerer at uføretilbøyeligheten er påvirket av lokale variasjoner i etterspørselen. I denne artikkelen benytter vi et lokalt positivt etterspørselssjokk for å se om også et positivt sjokk kan påvirke uføretilbøyeligheten. Konkret benytter vi utbyggingen av Snøhvit-gassfeltet utenfor Hammerfest, som ledet til en økning i den lokale etterspørselen i Hammerfest. Resultatene viser at sysselsetting og lønninger økte i Hammerfest i løpet av anleggsperioden, og uføretilbøyeligheten falt noe på slutten av perioden. Disse endringene er imidlertid drevet av personer som flytter til Hammerfest som en respons på det positive sjokket. Nøkkelord: etterspørselssjokk, lokale arbeidsmarkeder, uførepensjo

Hvordan identifisere årsakssammenhenger i ikke-eksperimentelle data? En ikke-teknisk introduksjon

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Exposure to Female Colleagues Breaks the Glass Ceiling - Evidence from a Combined Vignette and Field Experiment

Increased diversity in the workforce can lead to either more or less discrimination. We study discrimination among recruits in the Norwegian Armed Forces during boot camp. In a vignette experiment female candidates are perceived as less suited to be squad leaders than their identical male counterparts. Adding positive information leads to higher evaluations of the candidates, but does not reduce the amount of discrimination. The boot camp provides an ideal setting for studying inter-group contact. We find that intense collaborative exposure to female colleagues reduces discriminatory attitudes: Male soldiers who were randomly assigned to share room and work in a squad with female soldiers during the recruit period do not discriminate in the vignette experiment

Pre-analysis plan: The Effect of Small Group Instruction in Mathematics for Pupils in Lower Elementary School

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Social democratic representation and welfare spending: A quantitative case study

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Does personal contact with ethnic minorities affect anti-immigrant sentiments? Evidence from a field experiment

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