This paper presents an implementation of matching estimators for average treatment effects in Stata. The nnmatch command allows you to estimate the average effect for all units or only for the treated or control units; to choose the number of matches; to specify the distance metric; to select a bias adjustment; and to use heteroskedastic-robust variance estimators.
Using data from the 2003 National Survey of College Graduates and a sample of Harvard alumnae, we study the relationship between work environment and the labor force participation of mothers. We first document a large variation in labor force participation rates across high-education fields. Mindful of the possibility of systematic patterns in the types of women who complete different graduate degrees, we use the rich information available in each dataset, and the longitudinal nature of the Harvard data, to assess the extent to which these labor supply patterns may reflect variation in the difficulty of combining work with family. While it is difficult to entirely rule out systematic sorting, our evidence suggests that non-family-friendly work environments "push" women out of the labor force at motherhood. 6 This assumes that women make their current-period decision without factoring in future consequences. A more complete specification would consider the path of period-specific labor supply in a life-cycle setting. Current choices may affect future wage offers not only through experience, E it , but also if there exist penalties for labor supply gaps, which may vary across fields j (Bertrand et al., 2010). 7 The minimum hours requirement creates a new corner solution, where the choice at the margin is the decision to work h min j hours and earn w it h min j , explaining the additional term in Equation (3).
Background: Given the rising burden of hypertension in Africa, the Healthy Heart Africa program was developed to improve access to quality hypertension care in the primary care setting. The Healthy Heart Africa program provides a comprehensive, coordinated intervention directed at health care providers (HCPs) and the general public. Objective: The impact of Healthy Heart Africa on HCPs' knowledge of hypertension and facility-level services in Kenya was evaluated by a 12-month prospective study. Methods: Intervention facilities were selected by stratified random sampling and matched to similar control facilities. Intervention facilities received a hypertension treatment protocol, equipment, training and patient education materials, and improved medical supply chain, whereas control facilities did not. HCPs responsible for hypertension care were surveyed at baseline and 12 months later. Hypertension screening and treatment data were abstracted from service delivery registers. A differences-indifferences analysis estimated the impact of Healthy Heart Africa on HCPs' knowledge, hypertension services, and the number of patients diagnosed with and seeking treatment for hypertension. Results: Sixty-six intervention and 66 control facilities were surveyed. Healthy Heart Africa improved HCPs' knowledge of !5 hypertension risk factors and !5 methods for reducing/managing hypertension but not hypertension consequences. At end line, more intervention than control facilities measured blood pressure more than once during the same visit to diagnose hypertension, dedicated days to hypertension care, used posters to increase hypertension awareness, and provided access to hypertension medications. The number of patients diagnosed with hypertension and those seeking treatment for hypertension increased with intervention, but the change was not significant relative to control subjects. Conclusions: HCP-directed hypertension education and provision of basic resources positively influenced hypertension care in Kenya in the first 12 months of implementation.
Observing a sample of Harvard alumnae in their late thirties, the authors study the relationship between workplace flexibility and the labor force participation of mothers. They first document a large variation in labor force participation rates across higher education fields. Mindful of the possibility of systematic patterns in the types of women who complete various graduate degrees, they use the rich information available for the sample, supplemented by the longitudinal nature of a subset of these data, to assess the extent to which these labor supply patterns may reflect variation in the difficulty of combining work with family. Although ruling out systematic sorting entirely is not possible, their evidence suggests that inflexible work environments “push” women out of the labor force at motherhood.
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