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Nora Lustig

Researcher at Tulane University

Publications -  285
Citations -  9868

Nora Lustig is an academic researcher from Tulane University. The author has contributed to research in topics: Poverty & Fiscal incidence. The author has an hindex of 45, co-authored 276 publications receiving 9366 citations. Previous affiliations of Nora Lustig include National Autonomous University of Mexico & Brookings Institution.

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World development report 2000/2001 : attacking poverty

TL;DR: In this paper, the authors focus on the dimensions of poverty and how to create a better world, free of poverty, and explore the nature, and evolution of poverty to present a framework for action.

Declining Inequality in Latin America: A Decade of Progress?

TL;DR: A panel of distinguished economists undertakes in-depth analyses of Argentina, Brazil, Mexico, and Peru to understand what happened in these countries and why Led by editors Felipe Li?½pez-Calva and Nora Lustig as discussed by the authors, a panel of experts undertakes an overview of the relationship between markets and inequality, the political economy of redistribution, and the evolution of income inequality in the advanced industrialized economies.
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Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty

TL;DR: Banerjee and Dufloated as mentioned in this paper, "Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty", by Abhijit Banerjee, and Esther Duflo.
Book

Mexico: The Remaking of an Economy

Nora Lustig
TL;DR: In this article, Lustig analyzes Mexico's economic evolution from the outset of the debt crisis in 1982 until the sweeping reforms began to bear fruit in the early 1990s, and explains the causes of the 1982 economic crisis and why it took Mexico "so long" to restore stability and growth.
Journal ArticleDOI

Declining Inequality in Latin America in the 2000s: The Cases of Argentina, Brazil, and Mexico

TL;DR: The Gini coefficient in 13 of 17 Latin American countries between 2000 and 2010, the decline was statistically significant and robust to changes in the time interval, inequality measures, and data sources as mentioned in this paper.