81 research outputs found

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

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    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

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    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

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    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

    Social democratic representation and welfare spending: A quantitative case study

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    submittedVersio

    Helse og deltakelse i frivillige organisasjoner

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    I dette notatet studeres sammenhengen mellom helse og deltakelse i frivillig arbeid for foreninger og organisasjoner. Ved hjelp av et stort datamateriale fra Studien av livsløp, generasjon og kjønn (LOGG) finner jeg at det er en klar sammenheng mellom subjektiv helse og frivillighet, men en mindre klar sammenheng mellom objektive helse-plager og frivillighet. Videre identifiseres en viss geografisk variasjon i sammenhengen mellom helse og frivillighet. Analysene indikerer at helseforskjellene er større i kommuner med få innbyggere, noe som ser ut til å skyldes at de med god helse deltar i mindre grad i folkerike kommuner. Det er viktig å understreke at resultatene kun beskriver sammenhengen mellom helse og frivillighet og ikke sier noe om årsakssammenhengen mellom helse og frivillighet
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