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?:abstract
  • This article investigates the gap in property income between household survey data and national accounts. We show that coverage ratios of property income in the European Union Statistics on Income and Living Conditions (EU-SILC) and the European Central Bank’s Household Finance and Consumption Survey (HFCS) are well below those typically found for other income components, and we apply multiple strategies for scaling survey data up to national-accounts aggregates. We evaluate how different imputation strategies and assumptions on rates of return affect the distribution of property incomes in Eurozone countries. The results suggest that subjective choices made during data processing have a strong impact on reported income inequality measures. Conditional on the method used, inequality can change by up to 60 Gini points for the marginal distribution of property income and by more than 5 Gini points for gross total household income. (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2022 (xsd:gyear)
?:datePublished
  • 2022 (xsd:gyear)
?:duplicate
?:fromPage
  • 1 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
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?:name
  • The Micro-Macro Gap in Property Incomes: Consequences for Household Income Inequality (xsd:string)
?:publicationType
  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In Journal of Income Distribution, 1-29, 2022 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
?:tags
  • 2022 (xsd:string)
  • FDZ_GML (xsd:string)
  • SCOPUSindexed (xsd:string)
  • SILC (xsd:string)
  • SILC_input2023 (xsd:string)
  • SILC_pro (xsd:string)
  • article (xsd:string)
  • english (xsd:string)
  • indexproved (xsd:string)
  • jak (xsd:string)
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  • transfer23 (xsd:string)
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  • 29 (xsd:string)
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