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?:abstract
  • The credibility of microsimulation modeling with the research community and policymakers depends on high-quality baseline surveys. Quality problems with the baseline survey tend to impair the quality of microsimulation built on top of the survey data. We address two potential issues that both relate to skewed and heavy-tailed distributions. (xsd:string)
?:author
?:citeIdentifier
  • Schoch2020 (xsd:string)
?:comment
  • First published online: September 1, 2020, https://doi.org/10.1007/s11943-020-00275-8. (SILC) (xsd:string)
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  • EU-SILC-Bibliography (xsd:string)
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  • 2020 (xsd:gyear)
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  • 2020 (xsd:gyear)
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  • 10.1007/s11943-020-00275-8 ()
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  • 267–304 (xsd:string)
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  • english (xsd:string)
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?:issn
  • 18638163 ()
?:name
  • Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in Switzerland (xsd:string)
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  • article (xsd:string)
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  • Bibsonomy (xsd:string)
  • In AStA Wirtschafts- und Sozialstatistisches Archiv, 14, 267–304, 2020 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2020 (xsd:string)
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  • SCOPUSindexed (xsd:string)
  • SILC (xsd:string)
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  • article (xsd:string)
  • english (xsd:string)
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  • 267–304 (xsd:string)
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  • 14 (xsd:string)