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  • 1.
    Aldén, Lina
    et al.
    Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
    Hammarstedt, Mats
    Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
    Refugee immigration and public sector finances: evidence from Sweden2019In: Finanzarchiv, ISSN 0015-2218, E-ISSN 1614-0974, Vol. 75, no 3, p. 297-322Article in journal (Refereed)
    Abstract [en]

    We present an analysis of how refugee immigration affects public-sector finances during the refugees' first years of stay in Sweden. Two different measures are presented. First, public-sector revenues are related to public-sector costs under the assumption that public costs increase in proportion to refugee immigration. Second, public-sector revenues are related to public-sector costs when, in the short run, costs for public administration, infrastructure, and national defense are assumed to be fixed as refugee immigration increases. We find that refugee immigration implies a net cost for public-sector finances for several years and that this cost to a large extent is dependent on the refugees' labor market assimilation.

  • 2.
    Bastani, Spencer
    Uppsala University.
    Using the Discrete Model to Derive Optimal Income Tax Rates2015In: Finanzarchiv, ISSN 0015-2218, E-ISSN 1614-0974, Vol. 71, no 1, p. 106-117Article in journal (Refereed)
    Abstract [en]

    I demonstrate how the discrete model of optimum income taxation can be used to derive the structure of optimal income tax rates. I compare simulations of the discrete and continuous models of optimum income taxation under identical circumstances, based on U.S. wage data. The two models produce similar results once the number of types used to represent the skill distribution is sufficiently large. Whether the discrete or the continuous model is used, in order to accurately capture the shape of the optimal schedule of marginal tax rates, a large number of taxpayers should be employed.

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