WEALTH INEQUALITY IN SWEDEN: WHAT CAN WE LEARN FROM CAPITALIZED INCOME TAX DATA?

被引:30
|
作者
Lundberg, Jacob [1 ]
Waldenstroem, Daniel [2 ,3 ]
机构
[1] Uppsala Univ, Uppsala, Sweden
[2] Res Inst Ind Econ, Paris, France
[3] Paris Sch Econ, 48 Blvd Jourdan, F-75014 Paris, France
关键词
capitalization method; Gini coefficient; Great Rescession; investment income method; top wealth shares; wealth distribution; UNITED-STATES; SHARES;
D O I
10.1111/roiw.12294
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:517 / 541
页数:25
相关论文
共 50 条
  • [1] Income, income inequality and health: what can we learn from aggregate data?
    Gravelle, H
    Wildman, J
    Sutton, M
    [J]. SOCIAL SCIENCE & MEDICINE, 2002, 54 (04) : 577 - 589
  • [2] WEALTH INEQUALITY IN THE UNITED STATES SINCE 1913: EVIDENCE FROM CAPITALIZED INCOME TAX DATA
    Saez, Emmanuel
    Zucman, Gabriel
    [J]. QUARTERLY JOURNAL OF ECONOMICS, 2016, 131 (02): : 519 - 578
  • [3] WHAT CAN WE LEARN FROM SWEDEN
    NORDIN, BEC
    [J]. BRITISH MEDICAL JOURNAL, 1974, 3 (5928): : 458 - 459
  • [4] The Long-Run Determinants of Inequality: What Can We Learn from Top Income Data?
    Waldenstrom, Daniel
    Roine, Jesper
    Vlachos, Jonas
    [J]. JOURNAL OF ECONOMIC HISTORY, 2010, 70 (02): : 498 - 498
  • [5] The long-run determinants of inequality: What can we learn from top income data?
    Roine, Jesper
    Vlachos, Jonas
    Waldenstrom, Daniel
    [J]. JOURNAL OF PUBLIC ECONOMICS, 2009, 93 (7-8) : 974 - 988
  • [6] Inequality, Debt, and Human Rights: What Can We Learn from the Data?
    Galbraith, James
    [J]. HUMANITY-AN INTERNATIONAL JOURNAL OF HUMAN RIGHTS HUMANITARIANISM AND DEVELOPMENT, 2019, 10 (03) : 460 - 464
  • [7] Cross-national income inequality: How great is it and what can we learn from it?
    Smeeding, TM
    Gottschalk, P
    [J]. INTERNATIONAL JOURNAL OF HEALTH SERVICES, 1999, 29 (04): : 733 - 741
  • [8] A Wealth of Data, a Paucity of Outcomes: What Can We Learn From the ACGME Accreditation Data System?
    Hoekzema, Grant
    Cagno, Colleen K.
    [J]. FAMILY MEDICINE, 2021, 53 (07) : 580 - 582
  • [9] Tax federalism: what can we learn?
    Vilalta, Maite
    [J]. ACTIVITAT PARLAMENTARIA, 2010, (21): : 23 - 31
  • [10] Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data
    David Gallusser
    Matthias Krapf
    [J]. Social Indicators Research, 2022, 163 : 251 - 295