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Microsimulation for Public Policy. Experiences from the Swedish Model SESIM

Author

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  • Anders Klevmarken

    (Department of Economics, Uppsala, Sweden)

Abstract

The Earned Income Tax Credit (EITC) is the largest cash or near-cash U.S. antipoverty program. Taxpayers gain access to the EITC by having incomes below certain thresholds and by filing a tax return. For a taxpayer to receive a larger EITC available to families with children, the EITC-qualifying child must live with the taxpayer more than half the year. In this paper I will discuss the EITC and low-wage labor markets in the United States. This paper reviews policy applications of the Swedish microsimulation model SESIM. These applications include studies of grants and loans to students, redistribution through the public sector and in particular the consequences of population ageing. The paper also discusses the structure and properties of SESIM and demonstrates how the model can be used to evaluate alternative policies.
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Suggested Citation

  • Anders Klevmarken, 2022. "Microsimulation for Public Policy. Experiences from the Swedish Model SESIM," International Journal of Microsimulation, International Microsimulation Association, vol. 15(1), pages 153-185.
    • Handle: RePEc:ijm:journl:v:15:y:2022:i:1:p:153-185
    DOI: 10.34196/ijm.00258
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    Cited by:

    1. Islam, Nizamul & Flood, Lennart, 2015. "A Tax Benefit Model for Policy Evaluation in Luxembourg: LuxTaxBen," IZA Discussion Papers 9152, Institute of Labor Economics (IZA).
    2. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    3. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    4. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.

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