Can Economic Instruments Change Mindsets? The Impact of a Conditional Cash Transfer on Aspirations of Adolescent Girls

2022 ◽  
Vol 56 (2) ◽  
pp. 311-321
Author(s):  
Arijita Dutta ◽  
Anindita Sen
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Layana Costa Alves ◽  
Mauro Niskier Sanchez ◽  
Thomas Hone ◽  
Luiz Felipe Pinto ◽  
Joilda Silva Nery ◽  
...  

Abstract Background Malaria causes 400 thousand deaths worldwide annually. In 2018, 25% (187,693) of the total malaria cases in the Americas were in Brazil, with nearly all (99%) Brazilian cases in the Amazon region. The Bolsa Família Programme (BFP) is a conditional cash transfer (CCT) programme launched in 2003 to reduce poverty and has led to improvements in health outcomes. CCT programmes may reduce the burden of malaria by alleviating poverty and by promoting access to healthcare, however this relationship is underexplored. This study investigated the association between BFP coverage and malaria incidence in Brazil. Methods A longitudinal panel study was conducted of 807 municipalities in the Brazilian Amazon between 2004 and 2015. Negative binomial regression models adjusted for demographic and socioeconomic covariates and time trends were employed with fixed effects specifications. Results A one percentage point increase in municipal BFP coverage was associated with a 0.3% decrease in the incidence of malaria (RR = 0.997; 95% CI = 0.994–0.998). The average municipal BFP coverage increased 24 percentage points over the period 2004–2015 corresponding to be a reduction of 7.2% in the malaria incidence. Conclusions Higher coverage of the BFP was associated with a reduction in the incidence of malaria. CCT programmes should be encouraged in endemic regions for malaria in order to mitigate the impact of disease and poverty itself in these settings.


Author(s):  
Robespierre Pita ◽  
Clicia Pinto ◽  
Marcos Barreto ◽  
Samila Sena ◽  
Rosemeire Fiaccone ◽  
...  

ABSTRACTBackground and aimsA cooperation Brazil-UK was set in mid-2013 aiming at to build a huge cohort comprised by individuals registered in CadastroÚnico (CADU), a socioeconomic database used in social programmes of the Brazilian government. Epidemiologists and statisticians wish to assess the impact of Bolsa Família (PBF), a conditional cash transfer programme, on the incidence of several diseases (tuberculosis, leprosy, HIV etc). The cohort must contain all individuals who received at least one payment from PBF between 2007 and 2012, which results in a 100-million records according to our preliminary analysis. These individuals must be probabilistically linked with databases from the Unified Health System (SUS), such as hospitalization (SIH), notifiable diseases (SINAN), mortality (SIM), live births (SINASC), to produce data marts (domain-specific data) to the proposed studies. Within this cooperation, our first goal was to design and evaluate probabilistic methods to routine link the cohort, PBF, and SUS outcomes. ApproachWe implemented two probabilistic linkage methods: a full probabilistic, based on the Dice similarity (Sorensen index) of Bloom filters; and an hybrid approach, based on rules to deterministic and probabilistic matching. We performed linkages involving CADU (2011 extraction) and SUS outcomes (SIH, SINAN, and SIM) with samples from 3 states (Sergipe, Santa Catarina and Bahia) with an increasing size (from 1,447,512 to 12,036,010). ResultsUsing a Dice between 0.90 and 0.92, our methods retrieved more than 95% of true positive pairs amongst the linked pairs. For Sergipe, we obtained as <linked pairs,true positives>: <23,22>, <315,300>, <32,32>, respectively for SIH, SINAN, and SIM. For Bahia: <771,593>, <2677,2626>, <208,207>. Another linkage between CADU (1,447,512 records) and SINAN (624 records), for tuberculosis in Sergipe, returned 397 (full probabilistic) and 311 (hybrid) linked pairs, being 306 and 300 true positives. Another execution considering CADU (1,988,599 records) and SINAN (2,094 records), for tuberculosis in Santa Catarina, returned 791 (full probabilistic) and 500 (hybrid) linked pairs, with 667 and 472 true positives. Linking CADU (1.685,697 records) and SIM, for mortality of children under-4, returned 18 linked pairs, all of them true positives, for a Dice between 0.90 and 0.92 and with 100% of sensitivity, specificity, and positive predictive value. ConclusionDue to the absence of gold standards, we use samples with increasing sizes and manual review when adequate. Our results are quite accurate, although obtained with an unique extraction of CADU. We are starting to run linkages with the entire cohort.


2017 ◽  
Vol 25 ◽  
pp. 76 ◽  
Author(s):  
Maria Edo ◽  
Mariana Marchionni ◽  
Santiago Garganta

Argentina has traditionally stood out in terms of educational outcomes among its Latin American counterparts. Schooling of older children, however, still shows room for improvement especially among the more vulnerable. Fortunately, during the last years a sizeable improvement in attendance rates for children aged 15 through 17 took place. This could be related to the 2006 National Education Law that made upper-secondary education compulsory. In this paper, instead, we claim that the Asignación Universal por Hijo (Universal Child Allowance, AUH) -a massive conditional cash transfer program implemented in 2009 in Argentina- may be mostly responsible for this improvement. Using a difference-in-difference strategy we estimate that the program accounts for a 3.9 percentage point increase in the probability of attending secondary school among eligible children aged 15 through 17. The impact seems to be led by boys and is more relevant for children living in larger families where the head of household has a lower educational level.


Author(s):  
Yunindyo Sasmito

Poverty becomes a global problem including developing countries and developed countries. To overcome the problem of poverty, various countries have implemented poverty alleviation programs in the form of a Conditional Cash Transfer (CCT) policy package. In Indonesia, the CCT program is named PKH. This program requires prerequisites (health and education) to program recipients to get out of the cycle of poverty. This study aims to determine the impact of PKH on household spending on education in Java using IFLS 5 data in 2014. This study uses the Propensity Score Matching analysis method. Previous research shows that PKH in Indonesia has no significant impact on total household expenditure on education. By dividing the components of education expenditure, this paper has successfully demonstrated the significant impact of increasing total education expenditure in the household by IDR 1,031,963.53 per year. The increase also occurred in the total transportation costs of IDR 603,085.86. While the total education expenditure outside the household for PKH recipients declined by IDR 277,475.49 per year.


Sign in / Sign up

Export Citation Format

Share Document