The micro-macro gap for capital income in the Eurozone
DOI:
https://doi.org/10.25071/1874-6322.40392Keywords:
generalised Pareto estimation, national accounts, property incomeAbstract
This paper analyzes the mismatch of capital income information between household surveys and macro aggregates in the Eurozone. We contrast data from recent EU-SILC and HFCS waves with Eurostat national accounts for single components of capital income. We find a considerable gap between micro and macro data even when carefully considering comparability issues. On average, EU-SILC and HFCS cover only 26% and 22% of national accounts totals in the Eurozone countries. We further assess which amount of this gap that can be traced back to (a) the undercoverage of the top in survey data and (b) general underreporting of capital income across the distribution. To calculate augmented capital incomes, we utilize wealth information from HFCS and apply Pareto estimations and varying rates of return to capital.References
Andreasch, M., and P. Lindner 2016 “Micro and Macrodata: a Comparison of the Household Finance and Consumption Survey with Financial Accounts in Austria”, Journal of Official Statistics 32(1): 1–28. DOI: https://doi.org/10.1515/jos-2016-0001
Angel, S., F. Disslbacher, S. Humer, and M. Schnetzer 2019 “What did you really earn last year?: explaining measurement error in survey income data”, Journal of the Royal Statistical Society: Series A (Statistics in Society) 182(4): 1411–1437. DOI: https://doi.org/10.1111/rssa.12463
Atkinson, A.B., and F. Bourguignon 2000 “Introduction: Income distribution and economics”, Handbook of Income Distribution 1: 1–58. DOI: https://doi.org/10.1016/S1574-0056(00)80003-2
Atkinson, A.B. 2017 “Pareto and the Upper Tail of the Income Distribution in the UK: 1799 to the Present”, Economica 84(334): 129–156. DOI: https://doi.org/10.1111/ecca.12214
Bach, L., L.E. Calvet, and P. Sodini 2020 “Rich Pickings? Risk, Return, and Skill in Household Wealth”, American Economic Review 110(9): 2703–2747. DOI: https://doi.org/10.1257/aer.20170666
Blanchet, T., J. Fournier, and T. Piketty 2022 “Generalized Pareto Curves: Theory and Applications”, Review of Income and Wealth 68(1): 263–288. DOI: https://doi.org/10.1111/roiw.12510
Burkhauser, R.V., S. Feng, S.P. Jenkins, and J. Larrimore 2010 “Estimating trends in US income inequality using the Current Population Survey: The importance of controlling for censoring”, The Journal of Economic Inequality 9(3): 393–415. DOI: https://doi.org/10.1007/s10888-010-9131-6
Canberra Group 2011 Canberra Group Handbook on Household Income Statistics. 2nd. United Nations Economic Commission For Europe. http://www.unece.org/fileadmin/DAM/stats/groups/cgh/Canbera_Handbook_2011_WEB.pdf.
Chakraborty, R., I.K. Kavonius, S. Pérez-Duarte, and P. Vermeulen 2019 “Is the Top Tail of the Wealth Distribution the Missing Link between the Household Finance and Consumption Survey and National Accounts?”, Journal of Official Statistics 35(1): 31–65. DOI: https://doi.org/10.2478/jos-2019-0003
Davies, J.B., and A.E. Shorrocks 2000 “The Distribution of Wealth”, in A.B. Atkinson and F. Bourguignon (Eds.) Handbook of Income Distribution Volume 1. Amsterdam: North Holland, pp. 605–675 DOI: https://doi.org/10.1016/S1574-0056(00)80014-7
Eckerstorfer, P., J. Halak, J. Kapeller, B. Schütz, F. Springholz, and R. Wildauer 2016 “Correcting for the Missing Rich: An Application to Wealth Survey Data”, Review of Income and Wealth 62(4): 605–627. DOI: https://doi.org/10.1111/roiw.12188
Eurostat 2020 Methodological Guidelines And Description of EU-SILC Target Variables Luxembourg: Publications Office of the European Union.
[Eurosystem] Household Finance and Consumption Network 2016a “The Household Finance and Consumption Survey: Methodological report for the Second Wave”, ECB Statistics Paper Series 17.
—– 2016b “The Household Finance and Consumption Survey: Results from the Second Wave”, ECB Statistics Paper Series 18.
Fagereng, A., L. Guiso, D. Malacrino, and L. Pistaferri 2020 “Heterogeneity and Persistence in Returns to Wealth”, Econometrica 88(1): 115–170. DOI: https://doi.org/10.3982/ECTA14835
Feenberg, D.R., and J.M. Poterba 1993 “Income Inequality and the Incomes of Very High-Income Taxpayers: Evidence from Tax Returns”, Tax Policy and the Economy 7: 145–177. DOI: https://doi.org/10.1086/tpe.7.20060632
Fräßdorf, A., M. Grabka, and J. Schwarze 2011 “The impact of household capital income on income inequality: A factor decomposition analysis for the UK, Germany and the USA”, The Journal of Economic Inequality 9(1): 35–56. DOI: https://doi.org/10.1007/s10888-009-9125-4
Garbinti, B., J. Goupille-Lebret, and T. Piketty 2020 “Accounting for Wealth-Inequality Dynamics: Methods, Estimates, and Simulations for France”, Journal of the European Economic Association 19(1): 620–663. DOI: https://doi.org/10.1093/jeea/jvaa025
Garca-Peñalosa, C., and E. Orgiazzi 2013 “Factor Components of Inequality: A Cross-Country Study”, Review of Income and Wealth 59(4): 689–727. DOI: https://doi.org/10.1111/roiw.12054
Goda, T., and S. Sanchez 2018 “Market and disposable top income shares adjusted by national accounts data”, Journal of Income Distribution 26(2): 1–22. DOI: https://doi.org/10.25071/1874-6322.40347
Gottschalk, P., and T.M. Smeeding 1997 “Cross-national comparisons of earnings and income inequality”, Journal of Economic Literature 35(2): 633–687.
Groves, R.M. 2006 “Nonresponse Rates and Nonresponse Bias in Household Surveys”, Public Opinion Quarterly 70(5): 646–675. DOI: https://doi.org/10.1093/poq/nfl033
Kavonius, I.K., and J. Honkkila 2013 “Reconciling Micro and Macro Data on Household Wealth: A Test Based on Three Euro Area Countries”, Journal of Economic and Social Policy 15(2): 42–73.
Lahti L, J. Huovari, M. Kainu, and P. Biecek 2017 “Retrieval and Analysis of Eurostat Open Data with the eurostat Package”, The R Journal 9(1), 385–392. DOI: https://doi.org/10.32614/RJ-2017-019
Lequiller, F., and D. Blades 2014 Understanding National Accounts Second Edition Paris: OECD Publishing. DOI: https://doi.org/10.1787/9789264214637-en
Milanovic, B. 2016 Global Inequality. A New Approach for the Age of Globalization Cambridge, MA: Harvard University Press. DOI: https://doi.org/10.4159/9780674969797
Moore, J.C., L.L. Stinson, and E.J. Welniak Jr. 2000 “Income Measurement Error in Surveys: A Review”, Journal of Official Statistics 16(4): 331–362.
Piketty, T. 2014 Capital in the Twenty-first Century Cambridge, MA: Harvard University Press. DOI: https://doi.org/10.4159/9780674369542
-----, and E. Saez 2003 “Income inequality in the United States, 1913–1998”, The Quarterly Journal of Economics 118(1): 1–41. DOI: https://doi.org/10.1162/00335530360535135
-----, and G. Zucman 2018 “Distributional National Accounts: Methods and Estimates for the United States”, The Quarterly Journal of Economics 133(2): 553–609. DOI: https://doi.org/10.1093/qje/qjx043
Radermacher, Walter, and members of the European Statistical System 2013 European system of accounts: ESA 2010. EDC collection. Luxembourg: Publications Office of the European Union.
Roine, J., and D. Waldenström 2015 “Long-run trends in the distribution of income and wealth”, in A.B. Atkinson and F. Bourguignon (Eds.) Handbook of Income Distribution Vol. 2. Amsterdam: Elsevier, pp. 469–592. DOI: https://doi.org/10.1016/B978-0-444-59428-0.00008-4
Saez, E., and G. Zucman 2016 “Wealth inequality in the United States since 1913: Evidence from capitalized income tax data”, The Quarterly Journal of Economics 131(2): 519–578. DOI: https://doi.org/10.1093/qje/qjw004
Schlenker, E., and K.D. Schmid 2015 “Capital income shares and income inequality in 16 EU member countries”, Empirica 42(2): 241–268. DOI: https://doi.org/10.1007/s10663-015-9282-6
Smeeding, T.M., and D.H. Weinberg 2001 “Toward a uniform definition of household income”, Review of Income and Wealth 47(1): 1–24. DOI: https://doi.org/10.1111/1475-4991.00001
Törmälehto, V.M. 2011 “LIS and National Accounts Comparison”. LIS Technical Working Paper Series 2 [Luxembourg: Cross-national Data Centre].
United Nations Statistical Commission 2009 “The distribution of income accounts” in Updated System of National Accounts (SNA) New York: United Nations, Chapter 7, pp. 131–156.
Vermeulen, P. 2016 “Estimating the top tail of the wealth distribution”, American Economic Review: Papers & Proceedings 106(5): 646–650. DOI: https://doi.org/10.1257/aer.p20161021
----- 2017 “How Fat is the Top Tail of the Wealth Distribution?”, Review of Income and Wealth 64(2): 357–387. DOI: https://doi.org/10.1111/roiw.12279
Waltl, S.R., and R. Chakraborty 2022 “Missing the wealthy in the HFCS: micro problems with macro implications”, The Journal of Economic Inequality 20(1): 169-203. DOI: https://doi.org/10.1007/s10888-021-09519-1
Wildauer, R., and J. Kapeller 2022 “Fitting Pareto Tails to Wealth Survey Data: A Practioners’ Guide”, Journal of Income Distribution 29(3-4). DOI: https://doi.org/10.25071/1874-6322.40447
Zardo Trindade, L., and T. Goedemé 2020 “The comparability of the EU-SILC income variables: review and recommendations”, Eurostat Statistical Working Papers.