17 research outputs found

    Costos de la licencia de maternidad para apoyar la lactancia materna en Brasil, Ghana y México

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    Objective To develop a method to assess the cost of extending the duration of maternity leave for formally-employed women at the national level and apply it in Brazil, Ghana and Mexico. Methods We adapted a World Bank costing method into a five-step method to estimate the costs of extending the length of maternity leave mandates. Our method used the unit cost of maternity leave based on working women’s weekly wages; the number of additional weeks of maternity leave to be analysed for a given year; and the weighted population of women of reproductive and legal working age in a given country in that year. We weighted the population by the probability of having a baby that year among women in formal employment, according to individual characteristics. We applied nationally representative cross-sectional data from fertility, employment and population surveys to estimate the costs of maternity leave for mothers employed in the formal sector in Brazil, Ghana and Mexico for periods from 12 weeks up to 26 weeks, the WHO target for exclusive breastfeeding. Findings We estimated that 640 742 women in Brazil, 33 869 in Ghana and 288 655 in Mexico would require formal maternity leave annually. The median weekly cost of extending maternity leave for formally working women was purchasing power parity international dollars (PPP)195.07perwomaninBrazil,PPP) 195.07 per woman in Brazil, PPP 109.68 in Ghana and PPP$ 168.83 in Mexico. Conclusion Our costing method could facilitate evidence-based policy decisions across countries to improve maternity protection benefits and support breastfeeding

    The yearly financing need of providing paid maternity leave in the informal sector in Indonesia

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    Background: The economic cost of not breastfeeding in Indonesia is estimated at US1.59.4billionannually,thehighestinSouthEastAsia.Halfofthe33.6millionworkingwomenofreproductiveage(WRA)inIndonesia(1549years)areinformalemployees,meaningtheyareworkingascasualworkersortheyareselfemployed(smallscalebusiness)andassistedbyunpaid/familyworker(s).NospecificmaternityprotectionentitlementsarecurrentlyavailableforWRAworkinginformallyinIndonesia.Thisstudyaimstoestimatethefinancingneedofprovidingmaternityleavecashtransfer(MCT)forWRAworkingintheinformalsectorinIndonesia.Method:ThecostingmethodologyusedistheadaptedversionoftheWorldBankmethodologybyVilarCompteetal,followingpresetstepstoestimatecostsusingnationalsecondarydata.Weusedthe2018IndonesianNationalSocioEconomicSurveytoestimatethenumberofwomenworkinginformallywhogavebirthwithinthelastyear.Thepopulationcovered,potentialcashtransfersunitarycost,theincrementalcoverageofthepolicyintermsoftimeandcoverage,andtheadministrativecostswereusedtoestimatethecostofMCTfortheinformalsector.Result:At1001.5–9.4 billion annually, the highest in South East Asia. Half of the 33.6 million working women of reproductive age (WRA) in Indonesia (15–49 years) are informal employees, meaning they are working as casual workers or they are self-employed (small scale business) and assisted by unpaid/family worker(s). No specific maternity protection entitlements are currently available for WRA working informally in Indonesia. This study aims to estimate the financing need of providing maternity leave cash transfer (MCT) for WRA working in the informal sector in Indonesia. Method: The costing methodology used is the adapted version of the World Bank methodology by Vilar-Compte et al, following pre-set steps to estimate costs using national secondary data. We used the 2018 Indonesian National Socio-Economic Survey to estimate the number of women working informally who gave birth within the last year. The population covered, potential cash transfer’s unitary cost, the incremental coverage of the policy in terms of time and coverage, and the administrative costs were used to estimate the cost of MCT for the informal sector. Result: At 100% coverage for 13 weeks of leave, the yearly financing need of MCT ranged from US175million (US152/woman)toUS152/woman) to US669million (US$583/woman). The share of the yearly financing need did not exceed 0.5% of Indonesian Gross Domestic Product (GDP). Conclusions: The yearly financing need of providing MCT for eligible WRA working in the informal sector is economically attractive as it amounts to less than 0.5% of GDP nominal of Indonesia. While such a program would be perceived as a marked increase from current public health spending at the onset, such an investment could substantially contribute to the success of breastfeeding and substantial corresponding public health savings given that more than half of working Indonesian WRA are employed in the informal sector. Such policies should be further explored while taking into consideration realistic budget constraints and implementation capacity

    Randomization and social program evaluation: the case of Progresa. Ann Am Acad Pol Social Sci 2005;599:199–219

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    In this article, the authors analyze the development of Progresa, a Mexican antipoverty program that conditions monetary transfers to human capital investment of its beneficiary families. The program is the principal antipoverty strategy of the Mexican government and has served as a model for similar programs in a number of countries in Latin America. Progresa is also noteworthy because it was subject to a rigorous evaluation effort in rural areas, which included an experimental design. The authors first describe the rationale behind the design of Progresa, in particular, the conditioning of monetary transfers to children's school attendance and regular health clinic visits. The authors then turn to the evaluation effort, analyzing the randomized trial, the evaluation results, and the effect of the evaluation on the evolution of the program. Finally, the authors consider the limitations of the evaluation as well as areas where more research is needed

    The role of maternal cognitive ability on child health

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    The role of maternal cognitive ability on child health

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    The Healthy Migrant Effect: New Findings From the Mexican Family Life Survey

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    Objectives. We used nationally representative longitudinal data from the Mexican Family Life Survey to determine whether recent migrants from Mexico to the United States are healthier than other Mexicans. Previous research has provided little scientific evidence that tests the “healthy migrant” hypothesis

    Links between socio-economic circumstances and changes in smoking behavior in the Mexican population: 2002-2010.

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    While deleterious consequences of smoking on health have been widely publicized, in many developing countries, smoking prevalence is high and increasing. Little is known about the dynamics underlying changes in smoking behavior. This paper examines socio-economic and demographic characteristics associated with smoking initiation and quitting in Mexico between 2002 and 2010. In addition to the influences of age, gender, education, household economic resources and location of residence, changes in marital status, living arrangements and health status are examined. Drawing data from the Mexican Family Life Survey, a rich population-based longitudinal study of individuals, smoking behavior of individuals in 2002 is compared with their behavior in 2010. Logistic models are used to examine socio-demographic and health factors that are associated with initiating and quitting smoking. There are three main findings. First, part of the relationship between education and smoking reflects the role of economic resources. Second, associations of smoking with education and economic resources differ for females and males. Third, there is considerable heterogeneity in the factors linked to smoking behavior in Mexico indicating that the smoking epidemic may be at different stages in different population subgroups. Mexico has recently implemented fiscal policies and public health campaigns aimed at reducing smoking prevalence and discouraging smoking initiation. These programs are likely to be more effective if they target particular socio-economic and demographic sub-groups
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