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La distribucion conjunta de la renta y riqueza en Uruguay
The joint distribution of income and wealth in Uruguay
A distribuição conjunta de renda e riqueza no Uruguai
DOI:
https://doi.org/10.15446/cuad.econ.v40n83.83315Palabras clave:
ingreso, riqueza, desigualdad, cópula, estimación no paramétrica (es)income, wealth, inequality, copula, non-parametric estimation (en)
renda, fortuna, desigualdade, cópula, estimativa não paramétrica (pt)
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Este artículo analiza la distribución conjunta del ingreso-riqueza en Uruguay y la compara con Chile, España y Estados Unidos, por medio de encuestas financieras de hogares. Se analizan las distribuciones univariantes de ingreso y riqueza, y se encuentra que la última es más concentrada y asimétrica que la primera. Se estiman cópulas no paramétricas para la distribución conjunta que revelan que los hogares de altos ingresos se encuentran entre los de mayor riqueza y que los de menores ingresos entre los de menor riqueza. Se descubre que, en Uruguay, la educación es la principal fuente de heterogeneidad del ingreso, la riqueza y la distribución conjunta.
We analyse the joint distribution of income and wealth in Uruguay and compare it to that of Chile, Spain, and the U.S., using data from Surveys of Household Finances. We analyse income and wealth separately and find that wealth is more concentrated and asymmetric than income. We provide a non-parametric estimation of copulas for income and wealth. It reveals that high-income households are among the wealthiest while low-income households are at the bottom of the wealth distribution. When assessing the sources of income and wealth heterogeneity for Uruguay, we found that education strongly influences income, wealth, and joint distribution.
Este artigo analisa a distribuição conjunta de renda-riqueza no Uruguai e a compara com Chile, Espanha e Estados Unidos, por meio de pesquisas financeiras domiciliares. As distribuições univariadas de renda e riqueza são analisadas, e a última se mostra mais concentrada e assimétrica do que a primeira. Cópulas não paramétricas são estimadas para a distribuição conjunta que revelam que as famílias de alta renda estão entre aquelas com maior riqueza e que aquelas com renda mais baixa estão entre aquelas com menos riqueza. Descobriu-se que, no Uruguai, a educação é a principal fonte de heterogeneidade de renda, riqueza e distribuição conjunta.
Referencias
Anghel, B., Basso, H., Bover, O. et al., Casado J., Hospido, L., Izquierdo, M., Kataryniuk, I., Lacuesta, A., Montero, J., & Vozmediano, E. (2018). Income, consumption and wealth inequality in Spain. SERIEs, 9, 351-387.
Arrondel, L., Roger, M., & Savignac, F. (2014). Wealth and income in the Euro area: Heterogeneity in households’ behaviour? (Working paper 1709). European Central Bank.
Atkinson, A. B., & Harrison, A. (1978). Distribution of personal wealth in Britain. Cambridge University Press.
Badarinza, C. Campbell, J., & Ramadorai, T. (2016). International comparative household finances. Annual Review of Economics, 8,111-144.
Burkhauser, R., Feng, S., Jenkins, S., & Larrimore, J. (2011) Estimating trends in U.S. income inequality using the Current Population Survey: The importance of controlling for censoring. The Journal of Economic Inequality, 9(3), 393-415.
Burbidge, J., Maggie, L., & Robb, L. (1988). Alternative transformations to handle extreme values of the dependent variable. Journal of the American Statistic Association. 83(401), 123-127.
Cagetti, M. (2003). Wealth Accumulation over the life cycle and precautionary savings. Journal of Business & Economic Statistics, 21(3), 339-353.
Cagetti, M., & De Nardi, C. (2006): Entrepreneurship, frictions and wealth. Journal of Political Economy, 114(5), 835-870.
Charpentier, A., Fermanian, J., & Scaillet, O. (2007). The estimation of copulas: Theory and practice. In J. Rank (Ed.), Copulas: From theory to application in finance (pp. 35-64). London: Risk Books.
Chen, S., & Huang, T. (2007). Nonparametric estimation of copula functions for dependence modelling. The Canadian Journal of Statistics, 35(2), 265-282.
Comisión Económica para América Latina y el Caribe—CEPAL. (2019). Panorama Social de América Latina, 2018. LC/PUB.2019/3 Santiago.
Cowell, F. A., & Van Kerm, P. (2015). Wealth inequality a survey. Journal of Economic Surveys. 29(4), 671-710.
Cross-country differences in wealth inequality. Review of Income and Wealth, 64(2), 332-356.
Davies, J.B., Lluberas, R., & Shorrocks, A.F. (2017). Estimating the level and distribution of global wealth, 2000-2014. Review of Income and Wealth, 63, 731-759.
De Rosa, M. (2019). Wealth accumulation and its distribution in Uruguay: first estimates of the untold half of the story. Paris School of Economics.
Deheuvels, P., & Hominal, P. (1979). Estimation non parametrique de la densité compte tenu d’informations sur le support. Revue de Statistique Apliquée, 27, 47-68.
European Central Bank. (2013). The eurosystem household finance and consumption survey - Results from the first wave (Statistic Paper Series 2). European Central Bank.
Ferre, Z., Rivero, J., Sanroman, G., & Santos, G. (2016). Encuesta financier de los hogares uruguayos. Metodología y guía para el usuario. - Universidad de la República. Departamento de Economía.
Guner, N., Kaygusuz, R., & Ventura, G. (2014). Income taxation of U.S. households: Facts and parametric estimates. Review of Economic Dynamics, 17(4), 559-581.
Jäntti, M., Sierminska, E., & Van Kerm, P. (2015). Modelling the joint distribution of income and wealth (IZA 9190).
Kennickell, A. (2009). Ponds and streams wealth and income in the U.S, 1989 to 2007. Board of Governors of the Federal Reserve.
Kennickell, A. (2007). The role of oversampling the wealthiest in the survey of consumer finances. Board of Governors of the Federal Reserve.
Kennickell, A. (2005). The good shepard: Sample design and control for wealth measurements in the survey of consumer finances. Board of Governors of the Federal Reserve.
Lusardi, A., Michaud, P. C., & Mitchell, O. (2017). Optimal financial knowledge and wealth inequality. Journal of Political Economy, 125(2), 431-477.
Martinez, F., & Uribe, F. (2017). Distribucion de riqueza no previsional de los hogares chilenos (Documento de Trabajo 806). Banco Central de Chile.
OECD. (2012). Income inequality and growth: The role of taxes and transfers (Economic Department Policy Notes 9). OECD.
Piketty, T., & Zucman, G. (2014). Capital is back: Wealth income ratios in rich countries 1700-2010. The Quarterly Journal of Economics, 129(3), 1155-1210.
Rémillard, B., & Scaillet, O. (2009). Testing for equality between two copulas. Journal of Multivariate Analysis, 100, 377-386.
Rubin, D. B. (1987). Multiple Imputation for non-response in surveys. Wiley. 30. Saez, E., & Zucman, G. (2016). Wealth Inequality in the United States since 1913: Evidence from capitalized income tax data. The Quarterly Journal of Economics, 131(2), 519-578.
Schuster, E. (1985). Incorporating support constraints into nonparametric estimators of densities. Communications in statistics. Theory and Methods, 14, 1123-1136.
Vermeulen, P. (2018). How fat is the top tail of the wealth distribution? Review of Income and Wealth, 64, 357-387.
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1. Carlos Madeira. (2023). Adverse selection, loan access and default behavior in the Chilean consumer debt market. Financial Innovation, 9(1) https://doi.org/10.1186/s40854-023-00458-6.
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