Lokshin and Radyakin (2012) present evidence that month of birth affects child physical growth in India. We replicate these correlations using the same data and demonstrate that they are the result of spurious correlations between month of birth, age-at-measurement and child growth patterns in developing countries. We repeat the analysis on 39 additional countries and show that there is no evidence of seasonal birth effects in child height-for-age z-score in any country. Furthermore, we demonstrate that the Demographic and Health Survey data used to estimate the correlation is not suitable for the task due to a previously unrecognized source of measurement error in child month of birth. We document results from several papers that should be re-interpreted in light of this issue.
Background Modeling studies estimated severe impacts of potential service delivery disruptions due to COVID-19 pandemic on maternal and child nutrition outcomes. Although anecdotal evidence exists on disruptions, little is known about the actual state of service delivery at scale. We studied disruptions and restorations, challenges and adaptations in health and nutrition service delivery by frontline workers (FLWs) in India during COVID-19 in 2020. Methods We conducted phone surveys with 5500 FLWs (among them 3118 Anganwadi Workers) in seven states between August–October 2020, asking about service delivery during April 2020 (T1) and in August-October (T2), and analyzed changes between T1 and T2. We also analyzed health systems administrative data from 704 districts on disruptions and restoration of services between pre-pandemic (December 2019, T0), T1 and T2. Results In April 2020 (T1), village centers, fixed day events, child growth monitoring, and immunization were provided by <50% of FLWs in several states. Food supplementation was least disrupted. In T2, center-based services were restored by over a third in most states. Administrative data highlights geographic variability in both disruptions and restorations. Most districts had restored service delivery for pregnant women and children by T2 but had not yet reached T0 levels. Adaptations included home delivery (60 to 96%), coordinating with other FLWs (7 to 49%), and use of phones for counseling (~2 to 65%). Personal fears, long distances, limited personal protective equipment, and antagonistic behavior of beneficiaries were reported challenges. Conclusions Services to mothers and children were disrupted during stringent lockdown but restored thereafter, albeit not to pre-pandemic levels. Rapid policy guidance and adaptations by FLWs enabled restoration but little remains known about uptake by client populations. As COVID-19 continues to surge in India, focused attention to ensuring essential services is critical to mitigate these major indirect impacts of the pandemic.
This paper provides an impact evaluation of the Programa Nacional de Crédito Fundiário, a market assisted land reform program in Brazil. The paper uses a panel dataset and pipeline control group to evaluate the program's impact on agricultural production and earned income, using a difference in differences model with either municipal or individual fixed effects. The heterogeneous effect of additional years of land ownership is investigated. The findings suggest that the program increases production and earned income by about 75% and 35%, but only after four years of land ownership. The conclusions are supported by a number of robustness tests, although considerable attrition and potential bias due to unobserved variables suggests caution. The benefits of the program largely go to making debt payments. If the impact on income continues to grow, as it did in the first five years, improvements in net wealth and current welfare could both be achieved.
Do smaller local governments provide more for their citizens, especially when they are also held accountable to their citizens? This paper extends the empirical literature on the size of local governments by explicitly exploring one of the key influencing factors – direct local elections, a proxy for local accountability. Using an Indonesian panel of village-level outcomes data, the paper shows that a reduction in local government size (due to district splitting) increases public good provision but that this effect is restricted to districts that had direct local elections. It also provides suggestive evidence to show that increased revenue was channeled into developmental expenditures only in those split districts that faced direct elections. The identification strategy relies on a surprise local election announced while the number of local governments in Indonesia was increasing, which also abruptly imposed a moratorium on the process of splitting.
Objectives Modeling studies have estimated impacts of potential service delivery disruptions due to COVID-19 pandemic on maternal and child nutrition outcomes, but little is known about actual delivery status. We studied disruptions and restorations of health and nutrition services by frontline workers (FLWs) in India during COVID-19. Methods We conducted phone surveys with 5500 FLWs in seven states between August–October 2020, asking about service delivery during April 2020 (T1) and in the August-October period (T2) and analyzed changes between T1 and T2. We also analyzed publicly available administrative data (AD) from 704 districts including the pre-pandemic period (T0) to examine disruptions and restoration of services. Results Phone surveys suggest, in T1, opening of village centers, fixed day events, growth monitoring, and immunization services was <50% in several states. In T2, restorations of center-based services were seen, with increases of >33% in >= 3 states. Food supplementation was least disrupted both in T1 and T2. AD highlights geographic variability both in disruptions in T1 compared to T0 and restorations in T2. FLWs’ adaptations to ensure service provision included home delivery (60 to 96%), ensuring physical distancing (33 to 86%), coordinating with other FLWs (7 to 49%), and using phone (∼2 to 65%). Challenges included personal fears, walking long distances, and beneficiaries’ non-cooperation. Conclusions Services to mothers and children were disrupted during lockdown and restored thereafter. Rapid policy guidance and local adaptations by a strong cadre of FLWs likely enabled service resumption. However, gaps remain, and more research is needed on use of services by clients. Funding Sources Bill & Melinda Gates Foundation through POSHAN, led by International Food Policy Research Institute.
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