Publication Information

Abstract

This paper investigates the degree of association in the identification of the poor between the standard monetary FGT poverty measure and the Alkire-Foster Multidimensional Poverty Index. For this purpose, we use a measure of redundancy in the identification of the poor between the two poverty measures (R0). In Chile, over the past 25 years, R0 has declined at a rate of 1.5% per year. The decline is unimportant during the 1990s, a decade of rapid economic growth, while it is notable thereafter, in a period characterized by modest economic growth and the progressive introduction and deepening of social policies. The conditional correlation between socio-economic and demographic characteristics with R0 is examined at the province and household levels. After controlling for the household non-eligibility across some of the indicators of the multidimensional poverty index, we find that the divergence in the identification of the poor seems to be a real process which is not randomly distributed across the population. It is correlated with education improvements, increasing urbanization, and reduction in household size. On the basis of our results, we argue that this divergence may be a more general phenomenon that tends to occur in countries undergoing demographic transition, urbanization, and progress in education. If so, and given the fact that poverty alleviation strategies are adopted partly on the basis of poverty statistics, the diverging identification of the poor might have distributive consequences for the poor.

Abstract

This study aims to assess the patterns of wasting and stunting and their concurrence among vulnerable Venezuelan children. We performed an analysis of 46,462 anthropometric records captured by Caritas Venezuela between 2017 and 2019 and relating to children under 5 years old in the poorest parishes. Based on the WHO 2006 child growth standards, we identify 31.7% and 11.5% of the records from 2019 as stunted and wasted, respectively. Our unconditional analysis shows that stunting was more frequent among boys and shows an inverted U-shape association with age. The prevalence of stunting increases from 0.28 in 2017 to 0.32 in 2019. By contrast, the wasting prevalence decreases from 0.15 in 2017 to 0.11 in 2019. The concurrence of stunting and wasting slightly decreases over the same period from 0.045 to 0.039, all three trends being statistically significant. Using multilevel regression models, our conditional analysis shows that the odds of wasted children being stunted are 1.079 times greater than for non-wasted children. Similarly, the odds of stunted children being wasted are 1.085 times greater than for non-stunted children. While age is not statistically associated with stunting, it reduces the likelihood of being wasted. Furthermore, each additional month of age reduces by 1.16% the odds of facing the simultaneous concurrence of stunting and wasting instead of not facing it. The children's sex is also found to have a significant association with the probability of stunting and wasting. The odds of stunting and wasting amongst boys are found to be 1.19 and 1.084 times greater than for girls, respectively. We also found a significant and sizeable association between food insecurity and both stunting and wasting. Although lack of access to clean water is not associated with stunting, it is associated with higher levels of wasting. Protracted humanitarian crisis in Venezuela has brought considerable damage to child growth. Findings have policy and programming implications: stunting should be targeted as a humanitarian priority in protracted crisis, not only to mitigate the growth failure in children facing multiple nutritional deficiencies, but also as an approach for preventing persistent acute malnutrition.

Abstract

This paper provides an estimation of the accumulated detection rates and the accumulated number of infected individuals by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Worldwide, on July 20, it has been estimated above 160 million individuals infected by SARS-CoV-2. Moreover, it is found that only about 1 out of 11 infected individuals are detected. In an information context in which population-based seroepidemiological studies are not frequently available, this study shows a parsimonious alternative to provide estimates of the number of SARS-CoV-2 infected individuals. By comparing our estimates with those provided by the population-based seroepidemiological ENE-COVID study in Spain, we confirm the utility of our approach. Then, using a cross-country regression, we investigated if differences in detection rates are associated with differences in the cumulative number of deaths. The hypothesis investigated in this study is that higher levels of detection of SARS-CoV-2 infections can reduce the risk exposure of the susceptible population with a relatively higher risk of death. Our results show that, on average, detecting 5 instead of 35 percent of the infections is associated with multiplying the number of deaths by a factor of about 6. Using this result, we estimated that 120 days after the pandemic outbreak, if the US would have tested with the same intensity as South Korea, about 85,000 out of their 126,000 reported deaths could have been avoided.