Determinants of Student Achievements in the Primary Education of Paraguay

The idea that schooling scores depend on a combination of family background characteristics, ability and school (institutional) variables is quite clear. Regarding the issue of intergenerational transmission of inequality in the educational system, the most important question would be if and to what extent could a better institutional performance of the school service compensate for problems related to family background. By means of the estimation of a reduced form equation for selected scores, we investigate the impact of institutional performance on scores after controlling for family background and individual characteristics. We do this by using a novel data set and an OLS and quantile regression approach to analyze how heterogeneous the process of score generation can be. By providing integral health solutions, minimizing under-nutrition and providing ideal conditions in the classroom, training teachers can impact positively on low and mean learning outcomes, thus contributing to an improved educational quality and breaking cycles of intergenerational transmission of inequality. Increasing learning outcomes for levels above the median, only strengthens the transmission of inequality. Consequently, the equality approach should focus on trying to improve the worst scores and our results show that this can be reached at a significant level closing teacher training gaps, improving classroom conditions and improving health and nutrition.

The wage labor market and inequality in Viet Nam in the 1990s

Has the expansion of wage employment in Vietnam exacerbated social inequalities, despite its contribution to income growth? Gallup uses the two rounds of the Vietnamese Living Standards Survey (VLSS) to evaluate the contribution of wage employment to inequality and income growth over the period of rapid economic growth in the 1990s following market reforms. If Vietnam sustains its economic development in the future, wage employment will become an ever more important source of household income as family farms and self-employed household enterprises become less prevalent. Observing the recent evolution of wage employment compared with farm and non-farm self-employment provides clues as to how economic development will change Vietnamese society, in particular its impact on income inequality within and between communities. The author shows that standard methods for calculating income inequality can be severely biased due to measurement error when decomposing the contribution of different sectors, regions, or groups to overall inequality. A new method for consistent decomposition of inequality by income source shows that despite the rapid growth of wages in the 1990s, wage inequality fell modestly. Contrary to the results of uncorrected methods, wage employment contributes a roughly similar amount to overall income inequality as other nonagricultural employment (household enterprise and remittances, mainly). Agricultural income actually reduces overall income inequality because inequality between agricultural households is much lower than inequality between nonagricultural households, and agricultural income has a lower correlation with other income sources. Wage employment has not been the locus of growing disparity between the haves and the have-nots in Vietnam. A declining share of agriculture as the economy grows in Vietnam means that income inequality will rise, assuming that within-sector inequality does not change. This rising inequality, due to the shrinking share of agriculture, will be difficult to avoid without giving up economic growth and rapid poverty reduction in Vietnam. Historically, the process of economic development has always brought about a transition out of small farms and household enterprises into wage employment as worker productivity increases and non-household enterprises dominate the economy.Economic Theory&Research,Poverty Impact Evaluation,Labor Policies,Environmental Economics&Policies,Services&Transfers to Poor,Inequality,Environmental Economics&Policies,Poverty Impact Evaluation,Governance Indicators,Services&Transfers to Poor

The Real Price of College: College Completion Series: Part Two

The high price of college is the subject of media headlines, policy debates, and dinner table conversations because of its implications for educational opportunities, student and family pocketbooks, and the economy. Some people caution against giving too much weight to the advertised price of a college education, pointing out that the availability of financial aid means that college is not as expensive as people think it is. But they overlook a substantial problem: for many students, the real price of college is much higher than what recruitment literature, conventional wisdom, and even official statistics convey. Our research indicates that the current approach to higher education financing too often leaves low-income students facing unexpected, and sometimes untenable, expenses.Financial challenges are a consistent predictor of non-completion in higher education, and they are becoming more severe over time. Unexpected costs, even those that might appear modest in size, can derail students from families lacking financial cushions, and even those with greater family resources. Improving college completion rates requires both lowering the real price of attending college -- the student's remaining total costs, including tuition, books, and living expenses, after financial aid -- to better align with students' and families' ability to pay, and providing accurate information to help them plan to cover the real price of college.Many policymakers argue that bringing the personal and public benefits of higher education to an expanded population of Americans is important for the economy and to address inequality. Financial aid policies, they assume, help those with scarce resources to earn their degrees. But these policies often fall short, and when students have difficulty paying for college, they are more likely to focus their energies on working and raising funds rather than studying and attending classes, and are less likely to complete their degrees

The evolution of the standard of living in Spain, 1973-74 to 1980-81

In this paper we have investigated the evolution of the standard of living in Spain from 197374 to 1980-81 for a population of about 10 million household and 34 or 37 million persons occupying private housing. The standard of living has been approximated by a private consumption measure, comparisons in real terms have been made possible by household specific statistical consumer price indices, and the heterogeneity of the household population has been taken into account by means of several parametrisations of the weight to be given to household size, or to children needs relative to those of adults. Social or aggregate evaluations have been performed by scalar indicators which permit to summarise judgements about an entire distribution by means of two statistics: the mean and an index of either relative or absolute inequality. Standard restrictions, as well as the requirement of additive separability, lead to a member of the General Entropy family of social evaluation functions in the relative case, and to several members of the Kolm-Pollack family in the absolute case. Comparisons have been made with and without weighting household adjusted expenditure by household size in the domain of the social evaluation functions

Intergenerational Mobility and the Informative Content of Surnames

We propose an alternative method for measuring intergenerational mobility. Traditional methods based on panel data provide measurements that are scarce, difficult to compare across countries and almost impossible to get across time. In particular this means that we do not know how intergenerational mobility is correlated with growth, income or the degree of inequality. Our proposal is to measure the informative content of surnames in one census. The more information does the surname have on the income of an individual, the more important is background in determining outcomes; and thus, the less mobility there is. The reason for this is that surnames inform on family relationships because the distribution of surnames is necessarily much skewed. A large percentage of the population is bound to have a very unfrequent surname. For them the partition generated by surnames is very informative on family linkages. First, we develop a model whose endogenous variable is the joint distribution of surnames and income. Then we explore the relationship between mobility and the informative content of surnames. We allow for assortative mating to be a determinant of both. Then, we use our methodology to show that in a large Spanish region the informative content of surnames is large and consistent with the model. We also show that it has increased over time, indicating a substantial drop in the degree of mobility. Finally, using the peculiarities of the Spanish surname convention we show that the degree of assortative mating has also increased over time, in such a manner that might explain the decrease in mobility observed. Our method allows us to provide measures of mobility comparable across time. It should also allow us to study other issues related to inheritance.inheritance, birth-death processes, cross-sectional data, population genetics

The Burbea-Rao and Bhattacharyya centroids

We study the centroid with respect to the class of information-theoretic Burbea-Rao divergences that generalize the celebrated Jensen-Shannon divergence by measuring the non-negative Jensen difference induced by a strictly convex and differentiable function. Although those Burbea-Rao divergences are symmetric by construction, they are not metric since they fail to satisfy the triangle inequality. We first explain how a particular symmetrization of Bregman divergences called Jensen-Bregman distances yields exactly those Burbea-Rao divergences. We then proceed by defining skew Burbea-Rao divergences, and show that skew Burbea-Rao divergences amount in limit cases to compute Bregman divergences. We then prove that Burbea-Rao centroids are unique, and can be arbitrarily finely approximated by a generic iterative concave-convex optimization algorithm with guaranteed convergence property. In the second part of the paper, we consider the Bhattacharyya distance that is commonly used to measure overlapping degree of probability distributions. We show that Bhattacharyya distances on members of the same statistical exponential family amount to calculate a Burbea-Rao divergence in disguise. Thus we get an efficient algorithm for computing the Bhattacharyya centroid of a set of parametric distributions belonging to the same exponential families, improving over former specialized methods found in the literature that were limited to univariate or "diagonal" multivariate Gaussians. To illustrate the performance of our Bhattacharyya/Burbea-Rao centroid algorithm, we present experimental performance results for $k$-means and hierarchical clustering methods of Gaussian mixture models.Comment: 13 page