Wealth Inequality in Sweden: What Can We Learn from Capitalized Income Tax Data?

Wealth Inequality in Sweden: What Can We Learn from Capitalized Income Tax Data?. Lundberg, J. & Waldenström, D. Review of Income and Wealth, 64(3):517–541, September, 2018.

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This paper presents new estimates of wealth inequality in Sweden during 2000– 2012, linking wealth register data up to 2007 and individually capitalized wealth based on income and property tax registers for the period thereafter when a repeal of the wealth tax stopped the collection of individual wealth statistics. We find that wealth inequality increased after 2007 and that more unequal bank holdings and housing appear to be important drivers. We also evaluate the performance of the capitalization method by contrasting its estimates and their dispersion with observed stocks in register data up to 2007. The goodness-of-fit varies tremendously across assets and we conclude that although capitalized wealth estimates may well approximate overall inequality levels and trends, they are highly sensitive to assumptions and the quality of the underlying data sources.

@article{LundbergWaldenstrom2018,
  title = {Wealth Inequality in {{Sweden}}: What Can We Learn from Capitalized Income Tax Data?},
  author = {Lundberg, Jacob and Waldenstr{\"o}m, Daniel},
  year = {2018},
  month = sep,
  journal = {Review of Income and Wealth},
  volume = {64},
  number = {3},
  pages = {517--541},
  doi = {10.1111/roiw.12294},
  url = {https://doi.org/10.1111/roiw.12294},
  abstract = {This paper presents new estimates of wealth inequality in Sweden during 2000\textendash 2012, linking wealth register data up to 2007 and individually capitalized wealth based on income and property tax registers for the period thereafter when a repeal of the wealth tax stopped the collection of individual wealth statistics. We find that wealth inequality increased after 2007 and that more unequal bank holdings and housing appear to be important drivers. We also evaluate the performance of the capitalization method by contrasting its estimates and their dispersion with observed stocks in register data up to 2007. The goodness-of-fit varies tremendously across assets and we conclude that although capitalized wealth estimates may well approximate overall inequality levels and trends, they are highly sensitive to assumptions and the quality of the underlying data sources.},
  keywords = {Determinants of Wealth and Wealth Inequality,Methods of Estimation of Wealth Inequality,Trends in Aggregate Wealth and Wealth Inequality},
  url_appendix = {https://bibbase.org/network/publication/lundberg-waldenstrm-wealthinequalityinswedenwhatcanwelearnfromcapitalizedincometaxdataappendix-2018}
}

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