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A Joint Top Income and Wealth Distribution. (2020). Steiner, Viktor ; Zhu, Junyi.
In: VfS Annual Conference 2020 (Virtual Conference): Gender Economics.
RePEc:zbw:vfsc20:224651.

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  2. Aaberge, R., Atkinson, A. B., & Königs, S. (2018). From Classes to Copulas: Wages, capital, and top incomes. The Journal of Economic Inequality, 16(2), 295-320.

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  5. Bach, S., Corneo, G., & Steiner, V. (2012). Optimal top marginal tax rates under income splitting for couples. European Economic Review, 56(6), 1055-1069.

  6. Bach, S., Thiemann, A., & Zucco, A. (2015). The top tail of the wealth distribution in Germany, France, Spain, and Greece. Discussion paper 1502, Deutsches Institut für Wirtschaftsforschung, Berlin, 2015.

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  9. Brechmann, E., & Schepsmeier, U. (2013). Cdvine: Modeling dependence with c-and dvine copulas in r. Journal of Statistical Software, 52(3), 1-27.

  10. Buike, A, “Copula Modeling for World's Biggest Competitors”, Master's Thesis, University of Amsterdam, 2018.
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  11. Clauset, C. R. Shalizi, and M. E. Newman, “Power-law distributions in empirical data,” SIAM Review, vol. 51, no. 4, pp. 661–703, 2009.
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  12. Dalitz, C. (2016). "Estimating Wealth Distribution: Top Tail and Inequality." Technischer Bericht Nr. 2016-01, Hochschule Niederrhein, Fachbereich Elektrotechnik und Informatik Eckerstorfer, P., Halak, J., Kapeller, J., Schütz, B., Springholz, F., & Wildauer, R.
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  13. Hofert, M., Kojadinovic, I., Maechler, M., & Yan, J. (2017). copula: Multivariate dependence with copulas. R package version 0.999-17, https://cran.rproject. org/web/packages/copula/copula.pdf Jenkins, S. P. (2017). Pareto models, top incomes and recent trends in UK income inequality. Economica, 84(334), 261-289.

  14. Joe, H. (1997). Multivariate Models and Dependence Concepts. Chapman & Hall, London.
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  16. Kojadinovic, I. (2017). Some copula inference procedures adapted to the presence of ties. Computational Statistics & Data Analysis, 112, 24-41.

  17. Kojadinovic, I., & Yan, J. (2010). Modeling multivariate distributions with continuous marginals using the copula R package. Journal of Statistical Software, 34(9), 1-20.

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  20. Roodman, D. (2016). EXTREME: Stata module to fit models used in univariate extreme value theory. Statistical Software Components archive. Boston, MA: Boston College. https://ideas.repec.org/c/boc/bocode/s457953.html Schepsmeier, U., Stoeber, J., Brechmann, E. C., Graeler, B., Nagler, T., Erhardt, T., ... & Killiches, M. (2017). Package ‘VineCopula’, https://cran.rproject.
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  21. Trivedi, Pravin K., and David M. Zimmer. "Copula modeling: an introduction for practitioners." Foundations and Trends in Econometrics 1, no. 1 (2007): 1-111.

  22. Vermeulen, P. (2018). How fat is the top tail of the wealth distribution?. Review of Income and Wealth, 64(2), 357-387.

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  24. Zhu, J. (2014). Bracket Creep Revisited-with and without r> g: Evidence from Germany. Journal of Income Distribution, 23(3), 106-158.

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  4. Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data. (2022). Krapf, Matthias ; Gallusser, David.
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  5. The impact of different data sources on the level and structure of income inequality. (2022). Prieto-Alaiz, Mercedes ; Ayala, Luis ; Perez, Ana.
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  7. Still the Lands of Equality? Heterogeneity of Income Composition in the Nordics, 1975–2016. (2022). Iacono, Roberto ; Elisa, Palagi.
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  8. Income Composition Inequality. (2022). Ranaldi, Marco.
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  9. Distributional Change: Assessing the Contribution of Household Income Sources. (2022). Van Kerm, Philippe ; Fusco, Alessio ; Kyzyma, Iryna.
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  10. A joint top income and wealth distribution. (2021). Zhu, Junyi ; Steiner, Viktor.
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  11. A bivariate relative poverty line for time and income poverty: Detecting intersectional differences using distributional copulas. (2021). Kneib, Thomas ; Marra, Giampiero ; Radice, Rosalba ; Dorn, Franziska.
    In: University of Göttingen Working Papers in Economics.
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  12. Copula?based analysis of multivariate dependence patterns between dimensions of poverty in Europe. (2021). Prietoalaiz, Mercedes ; Perez, Ana ; Garciagomez, Cesar.
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  13. .

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  14. A Joint Top Income and Wealth Distribution. (2020). Steiner, Viktor ; Zhu, Junyi.
    In: VfS Annual Conference 2020 (Virtual Conference): Gender Economics.
    RePEc:zbw:vfsc20:224651.

    Full description at Econpapers || Download paper

  15. Still the lands of equality? On the heterogeneity of individual factor income shares in the Nordics. (2020). Palagi, Elisa ; Iacono, Roberto.
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  16. Measuring cumulative deprivation and affluence based on the diagonal dependence diagram. (2020). Decancq, Koen.
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  18. Homoploutia: Top Labor and Capital Incomes in the United States, 1950-2020. (2020). Berman, Yonatan ; Milanovic, Branko.
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  19. Homoploutia: Top Labor and Capital Incomes in the United States, 1950-2020. (2020). Milanovic, Branko ; Berman, Yonatan.
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  20. Homoploutia: Top Labor and Capital Incomes in the United States, 1950-2020. (2020). Berman, Yonatan ; Milanovic, Branko.
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  23. Women in the Top of the Income Distribution – What Can We Learn From LIS-Data?. (2019). Boschini, Anne ; Roine, Jesper ; Bobilev, Roman.
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  24. Distributional change: Assessing the contribution of household income sources. (2019). Van Kerm, Philippe ; Fusco, Alessio ; Philippe, Van Kerm ; Alessio, FUSCO ; Iryna, Kyzyma.
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  25. Joint Income-Wealth Inequality: An Application Using Administrative Tax Data. (2019). Krapf, Matthias ; Gallusser, David.
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