Winkelried, Diego and Escobar, Bruno (2020): Declining inequality in Latin America? Robustness checks for Peru.
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Abstract
Household surveys underreport incomes from the upper tail of the distribution, affecting our assessment about inequality. This paper offers a tractable simulation method to deal with this situation in the absence of extra information (e.g., tax records). The core of the method is to draw pseudodata from a mixture between the income empirical distribution and a parametric model for the upper tail, that aggregate to a preestablished top income share. We illustrate the procedure using Peruvian surveys that, as in the rest of Latin America, have displayed a sustained decrease in the Gini index since the 2000s. In a number of experiments, we impose a larger top income share than the one observed in the data, closer to corrected estimates for less egalitarian neighbors (e.g., Chile). We find that even though the point estimates of the Gini index are biased indeed, the corrected indices still decrease in time.
Item Type: | MPRA Paper |
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Original Title: | Declining inequality in Latin America? Robustness checks for Peru |
Language: | English |
Keywords: | Top income share, income inequality, Latin America |
Subjects: | D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement F - International Economics > F6 - Economic Impacts of Globalization > F63 - Economic Development N - Economic History > N3 - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy > N36 - Latin America ; Caribbean O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O54 - Latin America ; Caribbean |
Item ID: | 106566 |
Depositing User: | Mr. Bruno Escobar |
Date Deposited: | 12 Mar 2021 21:36 |
Last Modified: | 12 Mar 2021 21:36 |
References: | Aaberge, R., Atkinson, A. B., and Modalsli, J. (2020). Estimating long-run income inequality from mixed tabular data: Empirical evidence from Norway, 1875-2017. Journal of Public Economics, 187:104196. Alfons, A., Templ, M., and Filzmoser, P. (2013). Robust estimation of economic indicators from survey samples based on Pareto tail modelling. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62(2):271-286. Alvaredo, F. (2010). The rich in Argentina over the twentieth century, 1932-2004. In Atkinson, Anthony B. and Piketty, Thomas, editor, Top Incomes: A Global Perspective, chapter 6, pages 253-298. Oxford University Press, Oxford. Alvaredo, F. (2011). A note on the relationship between top income shares and the Gini coefficient. Economics Letters, 110(3):274-277. Alvaredo, F., Assouad, L., and Piketty, T. (2019). Measuring inequality in the Middle East 1990-2016: The world's most unequal region? Review of Income and Wealth, 65(4):685-711. Alvaredo, F. and Londoño Vélez, J. (2013). High incomes and personal taxation in a developing economy: Colombia 1993-2010. CEQ Working Paper 12, CEQ Institute, Tulane University. Amarante, V. (2016). Income inequality in Latin America: A factor component analysis. Review of Income and Wealth, 62:S4-S21. Anand, S. and Segal, P. (2017). Who are the global top 1%? World Development, 95:111-126. Assouad, L., Chancel, L., and Morgan, M. (2018). Extreme inequality: Evidence from Brazil, India, the Middle East, and South Africa. AEA Papers and Proceedings, 108:119-23. Atkinson, A. B. (2005). Top incomes in the UK over the 20th century. Journal of the Royal Statistical Society: Series A (Statistics in Society), 168(2):325-343. Atkinson, A. B. (2007). Measuring top incomes: Methodological issues. In Atkinson, A. B. and Piketty, T., editors, Top Incomes Over the Twentieth Century: A Contrast Between Continental European and English-Speaking Countries, chapter 1, pages 18-42. Oxford University Press, Oxford. Atkinson, A. B. and Piketty, T. (2010). Top Incomes: A Global Perspective. Oxford University Press, Oxford. Atkinson, A. B., Piketty, T., and Saez, E. (2011). Top incomes in the long run of history. Journal of Economic Literature, 49(1):3-71. Auten, G. and Splinter, D. (2019). Top 1 percent income shares: Comparing estimates using tax data. AEA Papers and Proceedings, 109. Balkema, A. A. and De Haan, L. (1974). Residual life time at great age. The Annals of Probability, 2(5):792-804. Bee, M. (2015). Estimation of the Lognormal-Pareto distribution using probability weighted moments and maximum likelihood. Communications in Statistics - Simulation and Computation, 44(8):2040-2060. Blanchet, T., Chancel, L., and Gethin, A. (2019). How Unequal Is Europe? Evidence from Distributional National Accounts, 1980-2017. WID.World Working Paper 2019/06, World Inequality Lab. Bourguignon, F. (2015). Appraising income inequality databases in Latin America. Journal of Economic Inequality, 13(4):557-578. Burdín, G., De Rosa, M., Vigorito, A., and Vilá, J. (2020). Was falling inequality in all Latin American countries a data-driven illusion? income distribution and mobility patterns in Uruguay 2009-2016. Discussion Paper 13070, IZA - Institute of Labor Economics. Burkhauser, R., Hahn, M., and Wilkins, R. (2015). Measuring top incomes using tax record data: A cautionary tale from Australia. Journal of Economic Inequality, 13(2):181-205. Burkhauser, R. V., Feng, S., Jenkins, S. P., and Larrimore, J. (2012). Recent trends in top income shares in the United States: Reconciling estimates from March CPS and IRS tax return data. Review of Economics and Statistics, 94(2):371-388. Burkhauser, R. V., Hérault, N., Jenkins, S. P., and Wilkins, R. (2016). What has been happening to UK income inequality since the mid-1990s? answers from reconciled and combined household survey and tax return data. ISER Working Paper 2016-03, Institute for Social and Economic Research. Chancel, L., Cogneau, D., Gethin, A., and Myczkowski, A. (2019). How Large Are African Inequalities? Towards Distributional National Accounts in Africa, 1990-2017. WID.WorldWorking Paper 2019/13, World Inequality Lab. Chancel, L. and Piketty, T. (2019). Indian Income Inequality, 1922-2015: From British Raj to Billionaire Raj? Review of Income and Wealth, 65:S33-S62. Charpentier, A. and Flachaire, E. (2019). Pareto Models for Top Incomes. Technical report. Clementi, F. and Gallegati, M. (2005). Pareto's law of income distribution: Evidence for Germany, the United Kingdom, and the United States. In Chatterjee, A., Yarlagadda, S., and Chakrabarti, B. K., editors, Econophysics of Wealth Distributions, chapter 1, pages 3-14. Springer, Milano. Cord, L., Genoni, M. E., and Rodríguez-Castelán, C. (2015). Overview. In Cord, L., Genoni, M. E., and Rodríguez-Castelán, C., editors, Shared prosperity and Poverty Eradication in Latin America and the Caribbean, chapter 1, pages 1-51. World Bank, Washington, DC. Cowell, F. A. and Flachaire, E. (2007). Income distribution and inequality measurement: The problem of extreme values. Journal of Econometrics, 41(2):1044-1072. Davidson, R. and Flachaire, E. (2007). Asymptotic and bootstrap inference for inequality and poverty measures. Journal of Econometrics, 141(1):141-166. Deaton, A. (2005). Measuring poverty in a growing world (or measuring growth in a poor world). Review of Economics and statistics, 87(1):1-19. Díaz-Bazán, T. (2015). Measuring Inequality from Top to Bottom. World Bank Policy Research Paper 7237, World Bank. Eckerstorfer, P., Halak, J., Kapeller, J., Schütz, B., Springholz, F., and Wildauer, R. (2016). Correcting for the missing rich: An application to wealth survey data. Review of Income and Wealth, 62(4):605-627. Ferreira, F. H. G., Messina, J., Rigolini, J., López-Calva, L. F., Lugo, M. A., and Vakis, R. (2013). Economic mobility and the rise of the Latin American middle class. The World Bank, Washington D.C. Flores, I., Sanhueza, C., Atria, J., and Mayer, R. (2019). Top incomes in Chile: A historical perspective on income inequality, 1964-2017. Review of Income and Wealth, Forthcoming. Gabaix, X. and Ibragimov, R. (2011). Rank- 1/2: a simple way to improve the OLS estimation of tail exponents. Journal of Business & Economic Statistics, 29(1):24-39. Gasparini, L. (2004). Different lives: Inequality in Latin America. In De Ferranti, D., Perry, G. E., Ferreira, F. H., and Walton, M., editors, Inequality in Latin America and the Caribbean: Breaking with History?, chapter 2, pages 35-71. World Bank, Washington. Gasparini, L., Cruces, G., Tornarolli, L., and Mejía, D. (2011). Recent trends in income inequality in Latin America. Economía, 11(2):147-201. Genoni, M. E. and Salazar, M. (2015). Steering towards shared prosperity in Peru. In Cord, L., Genoni, M. E., and Rodríguez-Castelán, C., editors, Shared Prosperity and Poverty Eradication in Latin America and the Caribbean, chapter 8, pages 269-301. World Bank, Washington, DC. Hajargasht, G. and Griffiths, W. E. (2013). Pareto-lognormal distributions: Inequality, poverty, and estimation from grouped income data. Economic Modelling, 33:593-604. Herrera, J. (2017). Poverty and economic inequalities in Peru during the boom in growth: 2004-14. In Carbonnier, G., H. C. y. S. T. V., editor, Alternative Pathways to Sustainable Development: Lessons from Latin America, chapter 8, pages 138-173. Brill Nijhoff. Ibragimov, M. and Ibragimov, R. (2018). Heavy tails and upper-tail inequality: The case of Russia. Empirical Economics, 54(2):823-837. Jenkins, S. P. (2017). Pareto models, top incomes and recent trends in UK income inequality. Economica, 84(334):261-289. Kim, N.-N. (2018). Top Incomes in Korea: Update, 1933-2016. Korean Economic Forum, 11(1):1-21. Lakner, C. and Milanovic, B. (2016). Global income distribution: from the fall of the Berlin Wall to the Great Recession. World Bank Economic Review, 30(2):203-232. Lustig, N. (2019). The "missing rich" in household surveys: Causes and correction approaches. Working Paper 75, Commitment to Equity (CEQ) Institute, Tulane University. Lustig, N., López-Calva, L. F., and Ortiz-Juarez, E. (2013). Declining inequality in Latin America in the 2000s: The cases of Argentina, Brazil, and Mexico. World Development, 44:129-141. Morgan, M. (2018). Income inequality, growth and elite taxation in Brazil: New evidence combining survey and fiscal data, 2001-2015. Working Paper 165, International Policy Centre for Inclusive Growth. Novokmet, F., Piketty, T., Yang, L., and Zucman, G. (2018). From Communism to Capitalism: Private versus Public Property and Inequality in China and Russia. In AEA Papers and Proceedings, volume 108, pages 109-13. Paz, P. and Urrutia, C. (2015). Economic growth and wage stagnation in Peru: 1998-2012. Review of Development Economics, 19(2):328-345. Piketty, T. (2003). Income inequality in France, 1901-1998. Journal of Political Economy, 111(5):1004-1042. Piketty, T. and Saez, E. (2003). Income inequality in the United States, 1913-1998. Quarterly Journal of Economics, 118(1):1-41. Piketty, T., Saez, E., and Zucman, G. (2018). Distributional national accounts: Methods and estimates for the United States. Quarterly Journal of Economics, 133(2):553-609. Piketty, T., Yang, L., and Zucman, G. (2019). Capital accumulation, private property, and rising inequality in China, 1978-2015. American Economic Review, 109(7):2469-96. Reed, W. J. (2003). The Pareto law of incomes: An explanation and an extension. Physica A: Statistical Mechanics and its Applications, 319:469-486. Reed, W. J. and Jorgensen, M. (2004). The double Pareto-lognormal distribution|a new parametric model for size distributions. Communications in Statistics - Theory and Methods, 33(8):1733-1753. Ruiz, N. and Woloszko, N. (2016). What do household surveys suggest about the top 1% incomes and inequality in OECD countries? OECD Economics Department Working Paper 1265, OECD. Stampini, M., Robles, M., Sáenz, M., Ibarrarán, P., and Medellín, N. (2016). Poverty, vulnerability, and the middle class in Latin America. Latin American Economic Review, 25(1):Article 4. Székely, M. and Mendoza, P. (2016). Declining inequality in Latin America: Structural shift or temporary phenomenon? Oxford Development Studies, 45(2):204-221. Vermeulen, P. (2018). How fat is the top tail of the wealth distribution? Review of Income and Wealth, 64(2):357-387. Winkelried, D. and Torres, J. (2019). Economic mobility along the business cycle. the case of Peru. Applied Economics, 51(18):1894-1906. Yamada, G., Castro, J. F., and Bacigalupo, J. (2012). Desigualdad monetaria en un contexto de rápido crecimiento económico: El caso reciente del Perú. Revista Estudios Económicos, 24:65-77. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/106566 |