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Falling Inequality in Latin America: The Role of Fiscal Policy

Published online by Cambridge University Press:  09 June 2020

Judith Clifton*
Affiliation:
Professor of Economics, Universidad de Cantabria, Spain and Visiting Academic, University of Cambridge
Daniel Díaz-Fuentes
Affiliation:
Professor of Economics, Universidad de Cantabria, Spain and Visiting Research Fellow, Department of International Development, University of Oxford
Julio Revuelta
Affiliation:
Senior Lecturer in Economics, Universidad de Cantabria, Spain.
*
*Corresponding author. E-mail: Judith.clifton@unican.es.
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Abstract

Latin America is one of the world's only regions to have witnessed a fall in income inequality during the 2000s. This paper evaluates the role fiscal policy played in this change. Recent scholarship has examined this in individual countries; lacking is a regional perspective. We examine the effects of nine fiscal instruments on income inequality in 17 countries between 1990 and 2014. Fiscal policy had a positive – albeit small – effect in reducing income inequality, especially from 2003, working best at the urban level. Public spending on education, personal income taxes and social contributions were especially instrumental in reducing income inequality.

Spanish abstract

Spanish abstract

América Latina es una de las únicas regiones del mundo que observó una disminución en la desigualdad del ingreso durante la década de 2000. En este artículo se evalúa el papel que desempeñó la política fiscal en este cambio distributivo. Estudios recientes han examinado este cambio en países individuales; lo que falta es una perspectiva regional. En este trabajo examinamos los efectos de nueve instrumentos fiscales sobre la desigualdad del ingreso en 17 países entre 1990 y 2014. La política fiscal tuvo un efecto positivo, aunque exiguo, en la reducción de la desigualdad del ingreso, especialmente a partir de 2003, funcionando mejor a nivel urbano. El gasto público en educación, los impuestos a la renta personal y las contribuciones a la seguridad social fueron especialmente importantes para reducir la desigualdad del ingreso.

Portuguese abstract

Portuguese abstract

A América Latina é uma das únicas regiões do mundo a testemunhar uma queda na desigualdade de renda durante os anos 2000. Este artigo avalia o papel da política fiscal nessa mudança. Estudos recentes examinaram isso em países de forma individual; o que falta é uma perspectiva regional. Examinamos os efeitos de nove instrumentos fiscais sobre a desigualdade de renda em 17 países entre 1990 e 2014. A política fiscal teve um efeito positivo – embora pequeno – na redução da desigualdade de renda, especialmente a partir de 2003, funcionando melhor no nível urbano. Os gastos públicos em educação, imposto de renda, taxas e contribuições sociais foram especialmente úteis para reduzir a desigualdade de renda.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2020
Figure 0

Figure 1. Gini Index at the National Level for 17 Latin American Countries, 1990–2014

Source: Authors’ elaboration based on ECLAC/CEPALSTAT: https://estadisticas.cepal.org/cepalstat/WEB_CEPALSTAT/estadisticasIndicadores.asp?idioma=i (last accessed 30 Jan. 2020).Note: In Argentina and Uruguay, the Gini coefficient is for urban areas, given the lack of available data at the national level. Nevertheless, it is a good proxy as the urban population in the two countries comprises 92% and 95% respectively of the total population.
Figure 1

Figure 2. Public Spending: Total and Social, 1990–2014 (% GDP)

Source: Authors’ elaboration based on ECLAC/CEPALSTAT.
Figure 2

Figure 3. Public Revenues: Total, Direct Taxes and Indirect Taxes, 1990–2014 (% GDP)

Source: Authors’ elaboration based on ECLAC/CEPALSTAT.
Figure 3

Table 1. Variables and Data Sources

Figure 4

Figure 4. Fiscal Variables: Coefficients and Confidence Intervals (90%) (Public Spending)

Note: Dependent variables: Gini index at the national level, Gini index at the urban level, and Gini index at the rural level. For ease of visualisation, the figure shows only the estimated coefficients for fiscal variables. Although these coefficients are not shown, all regressions were estimated using the same control variables (logarithm of GDP per capita, unemployment rate, secondary school enrolment rate, logarithm of population, trade openness, terms of international trade, investment rate, inflation, life expectancy, institutionalised democracy, natural resources rents, trend and country fixed effects). FE = Fixed Effects; LSDVC = Least-Squares Dummy Variable Corrected.
Figure 5

Figure 5. Fiscal Variables: Coefficients and Confidence Intervals (90%) (Public Revenues from Taxes and Social Contributions)

Note: See Figure 4 for dependent variables. FE = Fixed Effects; LSDVC = Least-Squares Dummy Variable Corrected.
Figure 6

Figure 6. Coefficients and Confidence Intervals (90%) for Interaction Effects between Fiscal Variables and Progressive Governments (Public Spending)

Note: Dependent variables: Gini index at the national level, Gini index at the urban level, and Gini index at the rural level. For ease of visualisation, the figure shows only the coefficients estimated for the interaction between fiscal variables and a dummy variable (1 = progressive government, 0 = otherwise). Although these coefficients are not shown, all regressions were estimated using the same control variables (logarithm of GDP per capita, unemployment rate, secondary school enrolment rate, logarithm of population, trade openness, terms of international trade, investment rate, inflation, life expectancy, institutionalised democracy, natural resources rent, trend and country fixed effects). FE = Fixed Effects; LSDVC = Least-Squares Dummy Variable Corrected.
Figure 7

Figure 7. Coefficients and Confidence Intervals (90%) for Interaction Effects between Fiscal Variables and Progressive Governments (Public Revenues from Taxes and Social Contributions)

Note: See Figure 6 for dependent variables. FE = Fixed Effects; LSDVC = Least-Squares Dummy Variable Corrected.
Figure 8

Table A.1. Descriptive Statistics

Figure 9

Table A.2. Correlation Matrix

Figure 10

Figure A.1. Gini Index for Market (Black) and Disposable (Grey) Income (Grey) for 2011 in Latin America and the OECD

Note: Guatemala is not included due to the lack of data for the year 2011.Source: ECLAC and IEF, ‘Los efectos de la política fiscal sobre la redistribución en América Latina y la Unión Europea’, Colección Estudios EUROsociAL, 8 (2014).