Learning from your neighbor
Tax-benefit systems swaps in Latin America
Datos Bibliográficos
| ID | 12836795 |
|---|---|
| Autores | Olivier Bargain (0000-0003-1042-9997, Université de Bordeaux, autor de correspondencia), H Xavier Jara (0000-0001-6648-2653, Institute for Social and Economic Research), David Rodríguez (0000-0002-2274-7637, University of Essex) |
| Año | 2017 |
| Volumen | 15 |
| Número | 4 |
| Páginas | 369-392 |
| Fecha de publicación | 2017-12-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | The Journal of Economic Inequality (JOURNAL) |
| Identificadores de la revista | ISSN: 1569-1721 • E-ISSN: 1573-8701 |
| Editorial | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10888-017-9367-5 |
| OpenAlex | W2781272949 |
| Idioma | EN |
| Citas recibidas | 8 |
| Referencias citadas | 18 |
Over the last decades, Latin American countries have experienced a noticeable decrease in income inequality. While this trend is mainly associated with a decline in wage inequality, progressive reforms of the tax-benefit systems of the region may have played a role. While redistributive systems in Latin America are still in their infancy, they are constantly expanding and do so at different pace in the region. To investigate this point in a comparative way, the present study exploits newly developed tax-benefit microsimulation models for Ecuador and Colombia. These two neighboring countries show contrasted situations in terms of income distribution and we characterize the extent to which this difference is explained by different tax-benefit systems. The comparative nature of our microsimulation models allows us to swap tax-benefit systems between countries to produce counterfactual simulations whereby the system of a country is applied to the population of the other. In this way, we can decompose the total country difference in income distribution to extract the role of different tax-benefit policies. We confirm that the Ecuadorean system is more redistributive and quantify the difference: if the Ecuadorean system was applied to the Colombian population, the Gini coefficient would be reduced by 1.7 points in Colombia. Headcount poverty would decrease by around 10% and the intensity of poverty by up to 14.7%. This analysis contributes to the recent literature on the redistributive role of tax-benefit systems in Latin America and highlights the role of microsimulation techniques to show how countries in the region can learn from each other in order to improve social protection and reduce income inequality
Demographic economics · Development economics · Economic growth · Economic inequality · Economics · Gini coefficient · Income distribution · Inequality · Latin Americans · Microsimulation · Political science · Population · Poverty · Demography · Economic Theory and Policy · Gender, Labor, and Family Dynamics · Income, Poverty, and Inequality
The role of automatic stabilizers and emergency tax–benefit policies during the Covid-19 pandemic in Ecuador
The distributional impact of tax and benefit systems in six African countries
Rethinking social assistance amid the Covid‐19 pandemic
The Role of Automatic Stabilizers and Emergency Tax–Benefit Policies During the Covid-19 Pandemic
Two decades of tax-benefit reforms in Ecuador
The Role of Tax‐Benefit Systems in Reducing the Gender Income Gap in Latin America
Analysis of Three-Way Game of Straw Return System under the Green Transformation of Agriculture
The distributional impact of tax and benefit systems in five African countries
Euromod
Analysing the effects of tax-benefit reforms on income distribution
Decomposition procedures for distributional analysis
Is the neighbour’s grass greener? Comparing family support in Lithuania and four other New Member States
Declining Inequality in Latin America in the 2000s
Fiscal Redistribution and Income Inequality in Latin America
Recent trends in inequality and poverty in developing countries
Swapping Policies
| Obras citantes distintas | 8 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2018 - 2025 (8) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 8 |