Ethiopia has launched a pro-poor health services extension programme since 2003 to deliver preventive and basic curative health services to its inhabitants. Despite the massive support and recognition the programme has received, there has not been proper evaluation of its impact. This study has applied propensity score matching and regression adjustment techniques to evaluate the short-term and intermediate-term impacts of the programme on child and maternal health indicators in the programme villages. Empirical data for the study were collected from 3095 households from both programme and non-programme villages in rural Ethiopia. The estimated results indicate that the programme has significantly increased the proportion of children fully and individually vaccinated against tuberculosis, polio, diphtheria-pertussis-tetanus, and measles. The study finds heterogeneity in childhood immunisation coverage as a result of differences in terms of the number of health extension workers, in the quality of health posts and in terms of the educational achievement of mothers across programme villages. The proportions of children and women using insecticide-treated bednets for malaria protection are significantly larger in programme villages than in non-programme villages. The effect on preventive maternal care is rather limited. Whereas women in the programme villages appeared to make their first contact with a skilled health service provider significantly earlier during pregnancy, very little effect is detected on other prenatal and postnatal care services. Moreover, the programme has not reduced the incidence and duration of diarrhoea and cough diseases among under-five children.impact evaluation, health services extension, propensity scores, regression adjustment, Ethiopia,

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Malnutrition is one of the most important early life shocks that have lasting effects on health. An often neglected cause of malnutrition and hidden hunger is high food inflation, particularly in developing countries. This study uses the Ethiopian Demographic and Health Survey data, matching each child's early life age in months from the time of conception with the corresponding local monthly food price data to examine the medium-term and long-term impacts of exposure to food inflation during the critical early life window—pregnancy and infancy—on child health. Exposure to one percentage point higher month-to-month food inflation while in utero increases the risk of under-five stunting by 0.95 percent. The impacts are heterogeneous depending on the month of exposure, highlighting the complicated biological mechanisms through which malnutrition during early life affects human growth. The results are robust to various empircal specifications and potential biases arising from survivor sample selection and age misreporting.