Gaston Yalonetzky
Biographic Data
| ID | 4263053 |
|---|---|
| NAME | Gaston Yalonetzky |
| GIVEN NAMES | Gaston |
| FAMILY NAME | Yalonetzky |
| SIGNATURE | YALONETZKY G |
| AFFILIATIONS | Leeds Universtiy, Leeds, UK |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 35 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 3 |
Endogenous weights and multidimensional poverty: A cautionary tale
Layers of Inequality: Unequal Opportunities and Skin Color in Mexico
We document the contribution of skin color toward quantifying inequality of opportunity over a proxy indicator of wealth. Our Ferreira–Gignoux estimates of inequality of opportunity as a share of total wealth inequality show that once parental wealth is included as a circumstance variable, the share of inequality of opportunity rises above 40%, overall and for every age cohort. By contrast, the contribution of skin tone to total inequality of opp…
Measuring educational inequality of opportunity: Pupil’s effort matters
The distinction between effort and other factors, such as family background, matters for correcting policies and normative reasons when we appeal to inequality of opportunity. We take advantage of a purposefully designed survey on secondary schools in rural Bangladesh to offer a comprehensive view of the importance of overall effort when measuring inequalities of opportunity in education. The analysis comprises decomposition exercises of the pred…
Inequality and Welfare in Quality of Life Among OECD Countries: Non-parametric Treatment of Ordinal Data
Introduction to Special Section: Quantitative Approaches to the Measurement and Analysis of Female Empowerment and Agency
This special issue presents four novel applications of quantitative methods to address measurement and analytical issues in the appraisal of female empowerment and agency. The methods presented comprise mixed methods, dominance analysis and structural equation models. The use of these methods is illustrated with empirical applications in Cambodia, India, Mali, and Turkey
The State of Female Autonomy in India: A Stochastic Dominance Approach
The promotion of female autonomy is both intrinsically and instrumentally desirable. We document differences in the distribution of female autonomy in India (using the National Family Health Survey 2005–2006) addressing two methodological challenges: the multidimensional nature of the concept and its frequent measurement with ordinal variables (which are not amenable to direct comparisons of social averages). We tackle these challenges with three…
Index of Dissimilarity
Dissimilarity indices quantify the differences between conditioned probability distributions of categorical variables. Traditionally they have been used to study social segregation in labor markets, housing, and school districts. Recently they have also been used to measure “horizontal” inequalities—that is, inequalities between groups—and inequality of opportunity concepts. The current methodological literature provides indices for unordered cat…
Relative income change and pro-poor growth
Most methods for the analysis of distributional change rely on the changes in the income of a particular group of people, taking either the situation of this group in the previous period, or the average change in the population, as reference point. By contrast, we propose a measure of distributional change based on the comparison of a group’s wellbeing standard against a richer group, thereby capturing a notion of change in relative income, which…
Inequality of Educational Opportunity in India: Changes Over Time and Across States
Inequality of Educational Opportunity in India: Changes Over Time and Across States
Measuring educational inequality of opportunity: Pupil’s effort matters
The distinction between effort and other factors, such as family background, matters for correcting policies and normative reasons when we appeal to inequality of opportunity. We take advantage of a purposefully designed survey on secondary schools in rural Bangladesh to offer a comprehensive view of the importance of overall effort when measuring inequalities of opportunity in education. The analysis comprises decomposition exercises of the pred…
Layers of Inequality: Unequal Opportunities and Skin Color in Mexico
We document the contribution of skin color toward quantifying inequality of opportunity over a proxy indicator of wealth. Our Ferreira–Gignoux estimates of inequality of opportunity as a share of total wealth inequality show that once parental wealth is included as a circumstance variable, the share of inequality of opportunity rises above 40%, overall and for every age cohort. By contrast, the contribution of skin tone to total inequality of opp…
Inequality and Welfare in Quality of Life Among OECD Countries: Non-parametric Treatment of Ordinal Data
Endogenous weights and multidimensional poverty: A cautionary tale
Inequality of Educational Opportunity in India: Changes Over Time and Across States
Index of Dissimilarity
Dissimilarity indices quantify the differences between conditioned probability distributions of categorical variables. Traditionally they have been used to study social segregation in labor markets, housing, and school districts. Recently they have also been used to measure “horizontal” inequalities—that is, inequalities between groups—and inequality of opportunity concepts. The current methodological literature provides indices for unordered cat…
Relative income change and pro-poor growth
Most methods for the analysis of distributional change rely on the changes in the income of a particular group of people, taking either the situation of this group in the previous period, or the average change in the population, as reference point. By contrast, we propose a measure of distributional change based on the comparison of a group’s wellbeing standard against a richer group, thereby capturing a notion of change in relative income, which…
Introduction to Special Section: Quantitative Approaches to the Measurement and Analysis of Female Empowerment and Agency
This special issue presents four novel applications of quantitative methods to address measurement and analytical issues in the appraisal of female empowerment and agency. The methods presented comprise mixed methods, dominance analysis and structural equation models. The use of these methods is illustrated with empirical applications in Cambodia, India, Mali, and Turkey
The State of Female Autonomy in India: A Stochastic Dominance Approach
The promotion of female autonomy is both intrinsically and instrumentally desirable. We document differences in the distribution of female autonomy in India (using the National Family Health Survey 2005–2006) addressing two methodological challenges: the multidimensional nature of the concept and its frequent measurement with ordinal variables (which are not amenable to direct comparisons of social averages). We tackle these challenges with three…
Inequality and Welfare in Quality of Life Among OECD Countries: Non-parametric Treatment of Ordinal Data
Measuring educational inequality of opportunity: Pupil’s effort matters
The distinction between effort and other factors, such as family background, matters for correcting policies and normative reasons when we appeal to inequality of opportunity. We take advantage of a purposefully designed survey on secondary schools in rural Bangladesh to offer a comprehensive view of the importance of overall effort when measuring inequalities of opportunity in education. The analysis comprises decomposition exercises of the pred…
Endogenous weights and multidimensional poverty: A cautionary tale
Layers of Inequality: Unequal Opportunities and Skin Color in Mexico
We document the contribution of skin color toward quantifying inequality of opportunity over a proxy indicator of wealth. Our Ferreira–Gignoux estimates of inequality of opportunity as a share of total wealth inequality show that once parental wealth is included as a circumstance variable, the share of inequality of opportunity rises above 40%, overall and for every age cohort. By contrast, the contribution of skin tone to total inequality of opp…
Income, Poverty, and Inequality (8 works) · Economics (7 works) · Mathematics (7 works) · Inequality (6 works) · Demographic economics (5 works) · Econometrics (5 works) · Economic growth (4 works) · Poverty, Education, and Child Welfare (4 works) · Sociology (4 works) · Statistics (4 works)