83 research outputs found

    Heckle and Chide: Results of a Randomized Road Safety Intervention in Kenya

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    In economies with weak enforcement of traffic regulations, drivers who adopt excessively risky behavior impose externalities on other vehicles, and on their own passengers. In light of the difficulties of correcting inter-vehicle externalities associated with weak third-party enforcement, this paper evaluates an intervention that aims instead to correct the intra-vehicle externality between a driver and his passengers, who face a collective action problem when deciding whether to exert social pressure on the driver if their safety is compromised. We report the results of a field experiment aimed at solving this collective action problem, which empowers passengers to take action. Evocative messages encouraging passengers to speak up were placed inside a random sample of over 1,000 long-distance Kenyan minibuses, or matatus, serving both as a focal point for, and to reduce the cost of, passenger action. Independent insurance claims data were collected for the treatment group and a control group before and after the intervention. Our results indicate that insurance claims fell by a half to two-thirds, from an annual rate of about 10 percent without the intervention, and that claims involving injury or death fell by at least 50 percent. Results of a driver survey eight months into the intervention suggest passenger heckling was a contributing factor to the improvement in safety.Kenya, traffic, driving regulations, matatus, safety

    Teacher Shocks and Student Learning: Evidence from Zambia

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    Following a tradition that relates household-level shocks to educational attainment, we examine the impact of teacher-level shocks on student learning. As a plausible measure for these shocks, we use teacher absenteeism during a 30-day recall period. A 5-percent increase in teacher absence rate reduced learning by 4 to 8 percent of average gains over the year, for both Mathematics and English. The estimated impacts are substantial and, in addition to the losses due to time away from class, likely reflect lower teaching quality when in class and less lesson-preparation when at home. Health problems-primarily their own illness and the illnesses of family members-account for more than 60 percent of teacher absenteeism. This suggests both that households are unable to substitute adequately for school-level teaching inputs and that, to support human capital formation, insurance at the school-level may be a policy priority that is worth exploring further

    When Can School Inputs Improve Test Scores?

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    Most studies fail to find an impact of school inputs on outcomes such as test scores. We argue that this might be a consequence of ignoring the possibility that households respond optimally to changes in school inputs and thus obscure the real effect of such provision on cognitive achievement. To incorporate the forward-looking behaviour of households, we present a household optimization model relating household resources and cognitive achievement to school inputs. In this framework if household and school inputs are technical substitutes in the production function for cognitive achievement, the impact of unanticipated inputs is larger than that of anticipated inputs. We test the predictions of the model for non-salary cash grants to schools using a unique data set from Zambia. We find that household educational expenditures and school cash grants are substitutes with a coeffcient of elasticity between -0.35 and -0.52. Consistent with the optimization model, anticipated funds have no impact on cognitive achievement, but unanticipated funds lead to significant improvements in learning. We are thus able both to order the effects of different kinds of spending and capture their impact on cognitive achievement.

    When can school inputs improve test scores?

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    The relationship between school inputs and educational outcomes is critical for educational policy. The authors recognize that households will respond optimally to changes in school inputs and study how such responses affect the link between school inputs and cognitive achievement. To incorporate the forward-looking behavior of households, the authors present a household optimization model relating household resources and cognitive achievement to school inputs. In this framework, if household and school inputs are technical substitutes in the production function for cognitive achievement, the impact of unanticipated inputs is larger than that of anticipated inputs. The authors test the predictions of the model for nonsalary cash grants to schools using a unique data set from Zambia. They find that household educational expenditures and school cash grants are substitutes with a coefficient of elasticity between -0.35 and -0.52. Consistent with the optimization model, anticipated funds have no impact on cognitive achievement, but unanticipated funds lead to significant improvements in learning. This methodology has important implications for educational research and policy.Housing&Human Habitats,Environmental Economics&Policies,Teaching and Learning,Economic Theory&Research,Economic Conditions and Volatility,Economics of Education

    School inputs, household substitution, and test scores

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    Empirical studies of the relationship between school inputs and test scores typically do not account for the fact that households will respond to changes in school inputs. This paper presents a dynamic household optimization model relating test scores to school and household inputs, and tests its predictions in two very different low-income country settings -- Zambia and India. The authors measure household spending changes and student test score gains in response to unanticipated as well as anticipated changes in school funding. Consistent with the optimization model, they find in both settings that households offset anticipated grants more than unanticipated grants. They also find that unanticipated school grants lead to significant improvements in student test scores but anticipated grants have no impact on test scores. The results suggest that naïve estimates of public education spending on learning outcomes that do not account for optimal household responses are likely to be considerably biased if used to estimate parameters of an education production function.Tertiary Education,Education For All,Access to Finance,Teaching and Learning,Disability

    School Inputs, Household Substitution, and Test Scores

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    Empirical studies of the relationship between school inputs and test scores typically do not account for the fact that households will respond to changes in school inputs. We present a dynamic household optimization model relating test scores to school and household inputs, and test its predictions in two very different low-income country settings – Zambia and India. We measure household spending changes and student test score gains in response to unanticipated as well as anticipated changes in school funding. Consistent with the optimization model, we find in both settings that households offset anticipated grants more than unanticipated grants. We also find that unanticipated school grants lead to significant improvements in student test scores but anticipated grants have no impact on test scores. Our results suggest that naïve estimates of public education spending on learning outcomes that do not account for optimal household responses are likely to be considerably biased if used to estimate parameters of an education production function.

    The Effect of Absenteeism and Clinic Protocol on Health Outcomes: The Case of Mother-to-Child Transmission of HIV in Kenya

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    Absenteeism of health workers in developing countries is widespread with some estimates indicating rates of provider absence of nearly 40% (Chaudhury et. al. 2006). This is the first paper to present evidence of the impact of health provider absence combined with limitations in health clinic protocol on health outcomes. Using longitudinal data from nearly 600 ante-natal care seekers at a rural ante-natal clinic in Western Kenya, we find that nurse absence on a patient’s first visit significantly reduces the probability that a woman tests for HIV over her entire pregnancy. Since the benefits of PMTCT services depend on HIV status, we proxy HIV status with self-reported pre-test expectations of being HIV-positive and estimate the heterogeneous impact of absence based on these self-reported expectations. We find that women with a high pre-test expectation of testing HIV-positive and whose first ANC visit coincides with nurse attendance are 25 percentage points more likely to deliver in a hospital or health center, 7.4 percentage points more likely to receive PMTCT medication, 9 percentage points less likely to breastfeed and 10 percentage points more likely to enroll in the free AIDS treatment program at the clinic than similar women whose first visit coincides with nurse absence. The procedural shortcomings in our study setting, shortcomings that do not enable pregnant women to test on a subsequent clinic visit, appear common in other countries in sub-Saharan Africa. They suggest that nurse absence in the context of this medical system translates into sizable reductions in child and maternal health

    Effect of community health clubs on child diarrhoea in western Rwanda: cluster-randomised controlled trial

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    Background Community health clubs are multi-session village-level gatherings led by trained facilitators and designed to promote healthy behaviours mainly related to water, sanitation, and hygiene. They have been implemented in several African and Asian countries but have never been evaluated rigorously. We aimed to evaluate the effect of two versions of the community health club model on child health and nutrition outcomes. Methods We did a cluster-randomised trial in Rusizi district, western Rwanda. We defined villages as clusters. We assessed villages for eligibility then randomly selected 150 for the study using a simple random sampling routine in Stata. We stratified villages by wealth index and by the proportion of children younger than 2 years with caregiverreported diarrhoea within the past 7 days. We randomly allocated these villages to three study groups: no intervention (control; n=50), eight community health club sessions (Lite intervention; n=50), or 20 community health club sessions (Classic intervention; n=50). Households in these villages were enrolled in 2013 for a baseline survey, then re-enrolled in 2015 for an endline survey. The primary outcome was caregiver-reported diarrhoea within the previous 7 days in children younger than 5 years. Analysis was by intention to treat and per protocol. This trial is registered with ClinicalTrials.gov, number NCT01836731. Findings At the baseline survey undertaken between May, 2013, and August, 2013, 8734 households with children younger than 5 years of age were enrolled. At the endline survey undertaken between Sept 21, 2015, and Dec 22, 2015, 7934 (91%) of the households were re-enrolled. Among children younger than 5 years, the prevalence of caregiver-reported diarrhoea in the previous 7 days was 514 (14%) of 3616 assigned the control, 453 (14%) of 3196 allocated the Lite intervention (prevalence ratio compared with control 0·97, 95% CI 0·81–1·16; p=0·74), and 495 (14%) of 3464 assigned the Classic intervention (prevalence ratio compared with control 0·99, 0·85–1·15; p=0·87). Interpretation Community health clubs, in this setting in western Rwanda, had no effect on caregiver-reported diarrhoea among children younger than 5 years. Our results question the value of implementing this intervention at scale for the aim of achieving health gains
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