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Inequality of opportunity and growth

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TLDR
In this article, the authors show that the relationship between inequality and growth depends on which component is larger, i.e., inequality of opportunity and effort, and they find a positive relationship between effort and growth.
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This article is published in Journal of Development Economics.The article was published on 2013-09-01 and is currently open access. It has received 240 citations till now. The article focuses on the topics: Income inequality metrics & Social inequality.

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Inequality and Growth: What Can the Data Say?

TL;DR: The authors showed that the growth rate is an inverted U-shaped function of net changes in inequality: Changes in inequality (in any direction) are associated with reduced growth in the next period.
Journal ArticleDOI

The measurement of inequality of opportunity: theory and an application to latin america

TL;DR: In this article, a simple scalar measure of inequality of opportunity and applying it to six Latin American countries is presented, which captures betweengroup inequality when groups are defined exclusively on the basis of predetermined circumstances.
Journal ArticleDOI

Rain and the democratic window of opportunity

TL;DR: The authors used within-country variation in rainfall as a source of transitory shocks to sub-Saharan African economies and found that negative rainfall shocks are followed by significant improvement in democratic institutions.
Book

Poverty in a Rising Africa

TL;DR: The first part of a two-part volume on poverty in Africa as mentioned in this paper examines progress over the past two decades along both monetary and non-monetary dimensions of poverty, assessing progress in education and health, the extent to which people are free from violence, and the joint occurrence of various types of deprivation.
Posted Content

Determinants of Economic Growth: Will Data Tell?

TL;DR: The authors found that growth determinants emerging from agnostic Bayesian model averaging and classical model selection procedures are sensitive to income differences across datasets and showed that research based on stronger priors is more robust to imperfect international income data.
References
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Journal ArticleDOI

Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.

TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
Report SeriesDOI

Initial conditions and moment restrictions in dynamic panel data models

TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI

Another look at the instrumental variable estimation of error-components models

TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
ReportDOI

Economic Growth in a Cross Section of Countries

TL;DR: For 98 countries in the period 1960-1985, the growth rate of real per capita GDP is positively related to initial human capital (proxied by 1960 school-enrollment rates) and negatively related to the initial (1960) level as mentioned in this paper.
Book ChapterDOI

Economic Growth and Income Inequality

TL;DR: The process of industrialization engenders increasing income inequality as the labor force shifts from low-income agriculture to the high income sectors as mentioned in this paper, and on more advanced levels of development inequality starts decreasing and industrialized countries are again characterized by low inequality due to the smaller weight of agriculture in production and income generation.
Frequently Asked Questions (7)
Q1. What contributions have the authors mentioned in the paper "Inequality of opportunity and growth" ?

The authors postulate in this paper that one reason for this inconclusive result is that income inequality consist at least in two different sorts of inequality, inequality of opportunity and effort. 

In this respect, the European Union is carrying out the so-call surveys on living conditions since 2004 for the European countries ( 15 countries in 2004, 20 countries in 2005, 23 countries in 2006 and 25 countries in 2007 ) so hopefully the authors will be able to contrast with a better database the main conclusions of this study in the future. 

The authors have postulated in this paper that the main reason for this inconclusive result is that income inequality measures are indeed measuring at least two different sorts of inequality: inequality of opportunity and inequality of effort. 

The proposed policy maximizes the minimum of type-averages of the objective, over types: = ∑ =∈ Φ∈ Q t Tt V v Q 1 );(1minmaxarg π ϕ ϕπϕ . 

The results are presented in section 5 and the paper concludes in section 6.Two sets of growth models have been proposed in the literature: 1) Models where inequality is necessary for growth. 

This can be due to the fact that inequality of opportunities is more important within less developed countries, while the part of inequality explained by the inequality of effort is more important in rich countries. 

Using depurated data of the PSID database for 24 US states from 1980 to 2000, the authors have followed Van de Gaer (1993) to construct proxies of inequality of opportunity indexes.