Inequality of Opportunities vs. Inequality of Outcomes: Are Western Societies All Alike?

By A. Lefranc, Nicolas Pistolesi, Alain Trannoy. 2008

334 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/4daa5720fb3d9f739d02f2aecd1f502a833542b5

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Citations in the corpus

Intergenerational Mobility and Inequality: The Latin American Case* (2014, result): “This figure compares with 20% in Italy (Checchi & Peragine 2010) and a much lower proportion in other advanced industrial countries (Lefranc et al. 2008, Marrero & 2Sociologists will note the close parallel with traditional sociological distinction between ascription and achievement (Parsons 1951),…”
Equity, efficiency and inequality traps: A research agenda (2007, background): “Pistolesi et al. [ 48 ] depart from a definition of equal opportunities like that in Eq. 4, and test for it across a number of OECD countries by comparing conditional distribution and “deficit” functions.15 A failure to reject the null that two distribution functions (conditional”
Inequality of Educational Opportunity in India: Changes Over Time and Across States (2012, background): “12 For instance, Checchi and Peragine (2005), Lefranc et al. (2008); Ferreira and Gignoux (2008), Fleurbaey (2008).”
Inequality of Opportunity in Europe (2012, methodology): “For example, Moreno-Ternero (2007) proposed to minimize the average of outcome inequality (across types) at each relative effort level;7 Lefranc et al. (2008) considered an index to measure inequality of opportunity based on the Gini index; Rodríguez (2008) provided a class of…”
Inequality of opportunity in educational achievement in Latin America: Evidence (2011, background): “Such problem does not happen in an approach based on dominance analyses (e.g., Pistolesi et al., 2005), which, on the other hand, is not always capable of providing complete rankings.”
Equality of Opportunity: Theory and Measurement (2016, methodology): “Looking at the graphs of stochastic dominance reveals something that was already present in Lefranc, Pistolesi, and Trannoy (2008): the income CDFs of the different educational or parental-income types are quite close.”
Equality of opportunity and luck: Definitions and testable conditions, with an application to income in France (2009, background): “intelligence, beauty, strength) (Nozick 1977, p.225). For some authors, this requirement should receive priority over other principles.(11) From a moral point of view, compensation for all forms of luck has also been contested on efficiency grounds. The cost of this compensation can obviously be qui”
Inequality of opportunity in Italy (2010, methodology): “8For a “non utiltarian” ex ante approach to EOp, which bases the comparison between types on dominance conditions rather than on the types mean, see Lefranc et al. [ 21 ] and Peragine and Serlenga [26].”
Empirical Approaches to Inequality of Opportunity: Principles, Measures, and Evidence (2012, background): “…measure the extent of inequality of opportunity or the contribution of inequality of opportunity to total income inequality –see, e.g., Almas et al. (2011), Björklund et al. (2011), Bourguignon et al. (2007), Checchi and Peragine (2010), Devooght (2008), Lefranc et al. (2008) and Pistolesi (2009).”
A dissimilarity index of multidimensional inequality of opportunity (2010, methodology): “For that an analysis of risk, return and stochastic dominance is required, as the one performed by Lefranc et al. (2008). By contrast, the equality of opportunity criterion put forth by Lefranc et al.”
Inequality of Opportunity in Brazil (2007, positive): “Lefranc et al. (2006) relate the Roemerian notion of inequality of opportunity to the concept of stochastic dominance between income distributions conditional on type.”
The Measurement of Inequality of Opportunity: Theory and an Application to Latin America (2008, positive): “This is precisely what Lefranc et al. (2006) do, using stochastic dominance concepts and the associated statistical tests to compare the distribution of opportunities across a number of OECD countries.”
Inequality Of Opportunity And Growth (2013, background): “Data requirements for comparing inequality of income across states or countries are severe (Deininger and Squire, 1996), but comparisons of IO are even more stringent (Lefranc et al., 2008).”
Measuring inequality of opportunity with imperfect data: the case of Turkey (2010, neutral): “At the level of disaggregation implicit in Figure 3, one could of course look for robust rankings across conditional distributions by means of stochastic dominance relationships (see Lefranc et al., 2008). However, such broad groupings may be less useful for policymakers interested in identifying po”