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COVID-19-related school closures are pushing countries off track from achieving their learning goals. This paper builds on the concept of learning poverty and draws on axiomatic properties from social choice literature to propose and motivate a distribution-sensitive measures of learning poverty. Numerical, empirical, and practical reasons for the relevance and usefulness of these complementary inequality sensitive aggregations for simulating the effects of COVID-19 are presented. In a post-COVID-19 scenario of no remediation and low mitigation effectiveness for the effects of school closures, the simulations show that learning poverty increases from 53 to 63 percent. Most of this increase seems to occur in lower-middle-income and upper-middle-income countries, especially in East Asia and the Pacific, Latin America, and South Asia. The countries that had the highest levels of learning poverty before COVID-19 (predominantly in Africa and the low-income country group) might have the smallest absolute and relative increases in learning poverty, reflecting how great the learning crisis was in those countries before the pandemic. Measures of learning poverty and learning deprivation sensitive to changes in distribution, such as gap and severity measures, show differences in learning loss regional rankings. Africa stands to lose the most. Countries with higher inequality among the learning poor, as captured by the proposed learning poverty severity measure, would need far greater adaptability to respond to broader differences in student needs.

Coronavirus --- COVID-19 --- Education --- Education and Digital Divide --- Education For All --- Education Indicators and Statistics --- Effective Schools and Teachers --- Learning Poverty --- Pandemic Impact --- Primary Education --- SDGs --- Sustainable Development Goals

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Reaching agreement on a reasonable performance target is a challenge, with costs associated with getting it wrong. Attention in the literature has focused on the potential negative effects of gaming or of creaming. However, even if there is no gaming or creaming taking place, there can still be costs associated with setting a level of the performance target that is either too low or too high. On the one hand, if the negotiated performance target is too low, there is a strong risk that the target would be met without any change in behavior or performance from what would have been realized without a performance management system. In that case, there would be no benefit-only the cost of covering the administrative costs associated with developing the monitoring and management systems. On the other hand, if the negotiated performance target is too high, there could also be significant costs. The exact nature of the costs depends on which one of two unattractive options the principal chooses to follow once it becomes apparent that the performance targets were set unrealistically high. If the principal chooses simply to waive any possible repercussions for the agents for not meeting the performance targets, this can undermine the credibility of the system. If the principal insists on holding agents to meeting the performance targets-no matter how unrealistic they were-this can breed resentment and adversely affect future productivity. This paper considers some approaches to target setting that have been used in the literature and proposes an approach based on the use of quantile regressions to construct a Characteristic Adjusted Performance distribution of performance to guide the selection of targets. The paper then presents two concrete examples of applications of this approach related to the setting of targets on School Test Scores and Improvement in Homicide rates in Police Districts in the State of Minas Gerais, Brazil.

Behavior of Economic Agents --- E-Business --- Education for All --- Educational Sciences --- Government Performance --- Macroeconomics and Economic Growth --- Minas Gerais --- Poverty Reduction --- Target Setting --- Teaching and Learning --- Tertiary Education --- Brazil --- Latin America

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Over the past decade, 12 of 14 Latin American countries have experienced a reduction in inequality. Based on a series of counterfactual simulations, the observed changes in inequality are decomposed in order to identify the main determinants of inequality. In contrast to methods that focus on aggregate summary statistics, the method adopted in this paper generates counterfactual distributions, so that the analysis can account for changes related to demographics, occupation, labor earnings and transfers, pensions, and other nonlabor income sources. The results show that for the majority of countries in the sample, the most important contributor to the observed decline in inequality has been the relatively strong growth in labor earnings at the bottom of the income distribution. In particular, most of the reduction in inequality can be attributed to an increase in earnings per hour for the bottom of the income distribution. The paper also contributes to the literature on inequality in Latin America by providing the Shapley-Shorrocks value of this decomposition.

Decomposition --- Emerging Markets --- Inequality --- Labor Policies --- Poverty Impact Evaluation --- Poverty Reduction --- Private Sector Development --- Services & Transfers to Poor --- Social Protections and Labor

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Teenage pregnancy has been a cause of concern for policy makers because it is associated with a complex and often adverse social context for women. It is seen as the cause of lower social and economic achievement for mothers and their children, and as the potential determinant of inter-generational poverty traps. However, the question of whether pregnancy-and the subsequent rearing of a child-is actually the trigger of poverty, higher dependence on social welfare and/ or other undesirable social and economic consequences has not been studied in developing countries with enough rigor to establish a causal relation. This paper follows a methodology previously applied in the United States, using Mexican data from the National Survey of Demographic Dynamics, to exploit information about miscarriages as an instrument to identify the long-term consequences of early child bearing. Thus, the paper takes the advantage of a natural experiment: it compares the outcomes of women who became pregnant in adolescence, and gave birth, to outcomes of women who became pregnant in adolescence and miscarried. This approach only allows for estimating the costs of adolescent childbearing for teenagers in a risk group, that is, teenagers who are likely to experience a pregnancy. The results are consistent with findings in the United States, suggesting that, contrary to popular thinking, adolescent childbearing does not hamper significantly the lifelong opportunities of the young mothers. Actually, women who gave birth during their adolescence have on average 0.34 more years of education, and are 21 percentage points more likely to be employed, compared with their counterparts who miscarried. The results also suggest, however, greater dependence on social welfare among women who gave birth during adolescence: their social assistance income is 36 percent higher, and they are more likely to participate in social programs, especially the conditional cash transfer program Oportunidades.

Adolescent Health --- Gender and Health --- Gender and Law --- Macroeconomics and Economic Growth --- Natural experiment --- Population Policies --- Poverty Reduction --- Poverty traps --- Reproductive Health --- Teenage pregnancy --- Welfare

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In recent years, Turkey has been host to more than two million Syrians seeking refuge. Initially concentrated in the southeastern regions, these refugees now reside throughout the country. There are many questions from policy makers regarding the impact of the population of Syrians Under Temporary Protection on the host community. This paper examines the impact of migrants on regional host communities from a poverty perspective. The paper does not find any negative impacts on poverty for the host community from the increasing population of Syrians Under Temporary Protection as of 2013, despite the high poverty rates experienced among the recent migrants.

Communities & Human Settlements --- Forced Migration --- Health, Nutrition and Population --- Housing & Human Habitats --- Macroeconomics and Economic Growth --- Population Policies --- Poverty --- Poverty Reduction --- Pro-Poor Growth --- Refugees --- Rural Poverty Reduction