Københavns Universitet - Økonomisk Institut - Publikationer (DK) *

  1. A Structural Model for Explaining Member State Variations in Preliminary References to the ECJ

    Broberg, Morten, Fenger, N. & Hansen, Henrik, 2020, (Accepteret/In press) I : European Law Review.

    Publikation:Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    TidsskriftEuropean Law Review
    StatusAccepteret/In press -2020
  2. Natural resource access and local economic growth

    Gradstein, M. & Klemp, Marc Patrick Brag, aug. 2020, I : European Economic Review. 127, 103441.

    Publikation:Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    We explore the existence of a local “resource curse” related to Brazil's oil, using oil price annual changes interacted with measures of local proximity to oil reserves. We find that oil royalty-receiving locations in Brazil that are closer to an oil field are characterized by a higher level of income per capita, when controlling for a range of potentially confounding factors. Furthermore, in a panel setting, we find that better geographical access to oil fields generates a greater positive effect of oil prices on local income per capita. Moreover, this positive impact of oilfield proximity on the effect of oil prices is enhanced in oil rich states. Importantly, these effects appear to be independent of the amount of oil royalties, suggesting the role of an indirect linkage effect.

    TidsskriftEuropean Economic Review
    StatusUdgivet -aug. 2020
  3. Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth

    Bjerre-Nielsen, Andreas, Minor, Kelton Ray, Sapieżyński, P., Jørgensen, Sune Lehmann & Lassen, David Dreyer, 2020, I : PLoS ONE. 15, 7, s. e0234003

    Publikation:Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    Understanding which transportation modes people use is critical for smart cities and planners to better serve their citizens. We show that using information from pervasive Wi-Fi access points and Bluetooth devices can enhance GPS and geographic information to improve transportation detection on smartphones. Wi-Fi information also improves the identification of transportation mode and helps conserve battery since it is already collected by most mobile phones. Our approach uses a machine learning approach to determine the mode from pre-prepocessed data. This approach yields an overall accuracy of 89% and average F1 score of 83% for inferring the three grouped modes of self-powered, car-based, and public transportation. When broken out by individual modes, Wi-Fi features improve detection accuracy of bus trips, train travel, and driving compared to GPS features alone and can substitute for GIS features without decreasing performance. Our results suggest that Wi-Fi and Bluetooth can be useful in urban transportation research, for example by improving mobile travel surveys and urban sensing applications.

    TidsskriftPLoS ONE
    Udgave nummer7
    Sider (fra-til)e0234003
    StatusUdgivet -2020
  4. Mutagenic study of residues in transmembrane helix 4, 5, and 6 of the plant plasma membrane P-Type H+-ATPase

    Buch-Pedersen, M. J., Møller, A. L. & Palmgren, Michael, 2003, I : Annals of the New York Academy of Sciences. 986, s. 349-350 2 s.

    Publikation:Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    TidsskriftAnnals of the New York Academy of Sciences
    Sider (fra-til)349-350
    Antal sider2
    StatusUdgivet -2003
  5. Diffusing Political Concerns: How Unemployment Information Passed between Social Ties Influences Danish Voters

    Alt, J. E., Jensen, Amalie Sofie, Larreguy, H., Lassen, David Dreyer & Marshall, J., 1 jan. 2020, (Accepteret/In press) I : Journal of Politics.

    Publikation:Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    While social pressure is widely believed to influence voters, evidence that informa- tion passed between social ties affects beliefs, policy preferences, and voting behav- ior is limited. We investigate whether information about unemployment shocks dif- fuses through networks of strong and mostly weak social ties and influences voters in Denmark. We link surveys with population-level administrative data that logs un- employment shocks afflicting respondents’ familial, vocational, and educational net- works. Our results show that the share of second-degree social ties—individuals that voters learn about indirectly—that became unemployed within the last year increases a voter’s perception of national unemployment, self-assessed risk of becoming unem- ployed, support for unemployment insurance, and voting for left-wing political parties. Voters’ beliefs about national aggregates respond to all shocks equally, whereas sub- jective perceptions and preferences respond primarily to unemployment shocks afflict- ing second-degree ties in similar vocations. This suggests that information diffusion through social ties principally affects political preferences via egotropic—rather than sociotropic—motives.
    TidsskriftJournal of Politics
    StatusAccepteret/In press -1 jan. 2020