This article investigates whether public investments that led to improvements in road quality and increased access to agricultural extension services led to faster consumption growth and lower rates of poverty in rural Ethiopia. Estimating an Instrumental Variables model using Generalized Methods of Moments and controlling for household fixed effects, we find evidence of positive impacts with meaningful magnitudes. Receiving at least one extension visit reduces headcount poverty by 9.8 percentage points and increases consumption growth by 7.1 percentage points. Access to all-weather roads reduces poverty by 6.9 percentage points and increases consumption growth by 16.3 percentage points. These results are robust to changes in model specification and estimation methods. Copyright 2009, Oxford University Press.

Young Lives is an international longitudinal study investigating the changing nature of childhood poverty in four low-income countries [Ethiopia, India (Andhra Pradesh), Peru and Vietnam] over a 15-year period. In each country, the cohort is comprised of ≈ 2000 children aged between 6 and 18 months and up to 1000 children aged between 7 and 8 years, recruited in 2002 and sampled from 20 sentinel sites. The first survey data collection from primary caregivers and older children took place in 2002, the second in 2006-07 and the third in 2009-10. Data on the community contexts were collected to complement the household surveys. To elaborate and extend the quantitative data, longitudinal qualitative research with a subgroup of the children was carried out in 2007, 2008 and 2010-11. Topic areas covered included nutrition, health and well-being, cognitive and physical development, health behaviours and education, as well as the social, demographic and economic status of the household. Survey data from the study are archived in the International Section of the UK Public Data Archive.

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Background: The concept of food insecurity encompasses three dimensions. One of these dimensions, the access component of household food insecurity is measured through the use of the Household Food Insecurity Access Scale (HFIAS). Despite its application in Ethiopia and other similar developing countries, its performance is still poorly explored. Our study aims to evaluate the validity of the HFIAS in Ethiopia. Methods: We conducted repeated cross-sectional studies in urban and rural villages of the Butajera District in southern Ethiopia. The validation was conducted on a pooled sample of 1,516 households, which were selected using a simple random sampling method. The HFIAS was translated into the local Amharic language and tested for face validity. We also evaluated the tool's internal consistency using Cronbach's alpha and factor analysis. We tested for parallelism on HFIAS item response curves across wealth status and further evaluated the presence of a dose-response relationship between the food insecurity level and the consumption of food items, as well as between household wealth status and food insecurity. Additionally, we evaluated the reproducibility of the tool through the first and second round of HFIAS scores. Results: The HFIAS exhibited a good internal consistency (Cronbach's alpha for the values of rounds 1 and 2 were 0.76 and 0.73, respectively). A factor analysis (varimax rotation) resulted in two main factors: the first factor described a level of mild to moderate food insecurity, while the second factor described severe food insecurity. HFIAS item response curves were parallel across wealth status in the sample households, with a dose-response trend between food insecurity levels and the likelihood of previous day food consumption being observed. The overall HFIAS score did not change over the two rounds of data collection. Conclusions: The HFIAS is a simple and valid tool to measure the access component of household food insecurity. However, we recommend the adaptation of questions and wordings and adding examples before application, as we found a discrepancy in understanding of some of the nine HFIAS questions.

The impact of education on farmers' attitudes toward endogenous risk (measured using an attitude survey instrument) is estimated with household data from rural Ethiopia. Education of the household head is found to decrease risk-aversion. Next, the effects of education and risk attitudes on technology adoption are estimated. Schooling encourages farmers to adopt innovations, whereas risk-aversion reduces the probability of adoption. Thus, we find that schooling encourages innovation, a potentially risky undertaking, not only directly but also indirectly, through its effect upon attitudes toward risk. To the extent that educated farmers are early innovators and are copied by those with less schooling (as other research on the same data has shown), the reduction of riskaversion not only has private benefits for those with education but also may have externality benefits.

ObjectiveTo provide evidence on the effect of the COVID-19 pandemic on the mental health of young people who grew up in poverty in low/middle-income countries (LMICs).DesignA phone survey administered between August and October 2020 to participants of a population-based longitudinal cohort study established in 2002 comprising two cohorts born in 1994–1995 and 2001–2002 in Ethiopia, India (Andhra Pradesh and Telangana), Peru and Vietnam. We use logistic regressions to examine associations between mental health and pandemic-related stressors, structural factors (gender, age), and lifelong protective/risk factors (parent and peer relationship, wealth, long-term health problems, past emotional problems, subjective well-being) measured at younger ages.SettingA geographically diverse, poverty-focused sample, also reaching those without mobile phones or internet access.Participants10 496 individuals were approached; 9730 participated. Overall, 8988 individuals were included in this study; 4610 (51%) men and 4378 (49%) women. Non-inclusion was due to non-location or missing data.Main outcome measuresSymptoms consistent with at least mild anxiety or depression were measured by Generalized Anxiety Disorder-7 (≥5) or Patient Health Questionnaire-8 (≥5).ResultsRates of symptoms of at least mild anxiety (depression) were highest in Peru at 41% (32%) (95% CI 38.63% to 43.12%; (29.49–33.74)), and lowest in Vietnam at 9% (9%) (95% CI 8.16% to 10.58%; (8.33–10.77)), mirroring COVID-19 mortality rates. Women were most affected in all countries except Ethiopia. Pandemic-related stressors such as health risks/expenses, economic adversity, food insecurity, and educational or employment disruption were risk factors for anxiety and depression, though showed varying levels of importance across countries. Prior parent/peer relationships were protective factors, while long-term health or emotional problems were risk factors.ConclusionPandemic-related health, economic and social stress present significant risks to the mental health of young people in LMICs where mental health support is limited, but urgently needed to prevent long-term consequences.

What keeps some people persistently poor, even in the context of relative high growth? In this paper, we explore this question using a 15-year longitudinal data set from Ethiopia. We compare the findings of an empirical growth model with those derived from a model of the determinants of chronic poverty. We ask whether the chronically poor are simply not benefiting in the same way from the same factors that allowed others to escape poverty, or whether there are latent factors that leave them behind? We find that this chronic poverty is associated with several initial characteristics: lack of physical assets, education, and 'remoteness' in terms of distance to towns or poor roads. The chronically poor appear to benefit from some of the drivers of growth, such as better roads or extension services in much the same way that the non-chronically poor benefit. However, they appear to have lower growth in this period, related to time-invariant characteristics, and this suggests that they face a considerable growth and standard of living handicap.

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