Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities, Guide to Replication of Miguel and Kremer (2004)

By Edward Miguel, Michael Kremer. 2014

2,281 citations recorded by the source corpus.

Subfields: Gender Studies, Nutrition and Dietetics, Safety Research

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Citations in the corpus

The Econometrics of Randomized Experiments (2016, background): “Miguel and Kremer (2004) were interested in the effects of deworming programs on children’s educational outcomes.”
The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application (2014, background): “This result reveals that when 5 For example, Miguel and Kremer (2004) find the probability of an individual taking deworming drugs decreases in the number of those who have taken the drug earlier, indicating negative network social effects.”
General Equilibrium Effects of Cash Transfers: Experimental Evidence from Kenya (2019, background): “…suggest that RCTs of cash transfer programs that simply compare outcomes in treatment versus control villages may understate true overall impacts by ignoring the general equilibrium effects that we capture (along the lines that Miguel and Kremer (2004) argue in the context of a health program).”
Child Schooling and Child Work in the Presence of a Partial Education Subsidy (2017, background): “The program also required regular deworming for older children, which may have improved schooling outcomes (Baird et al. 2016; Bleakley 2007; Miguel and Kremer 2004).”
Drought of Opportunities: Contemporaneous and Long-Term Impacts of Rainfall Shocks on Human Capital (2017, positive): “However, most empirical evidence on this topic finds that increasing health increases schooling investment, particularly in the developing world (Miguel and Kremer 2004; Bleakley 2007; Jayachandran and LlerasMuney 2009). impacts of rainfall shocks on human capital 551 are more likely to serve…”
Social Networks and Technology Adoption in Northern Mozambique (2006, positive): “Similar to this paper, Conley and Udry (2003) use individual measures of information neighbourhoods, as do Kremer and Miguel (2004a) in the context of adopting a new health technology.”
EXPERIMENTAL ANALYSIS OF NEIGHBORHOOD EFFECTS ON YOUTH (2004, background): “See Miguel and Kremer (2004) for a recent example of empirical estimation of treatment effect externalities.”
Conditional Cash Transfers, Civil Conflict and Insurgent Influence: Experimental Evidence from the Philippines (2016, background): “Our results are consistent with previous findings that positive economic shocks reduce civil conflict (Miguel et al., 2004; Dube and Vargas, 2013).”
Global epidemiology, ecology and control of soil-transmitted helminth infections (2006, background): “In Kenya treatment reduced absenteeism by one quarter, with the largest gains for the youngest children who suffered the most ill health (Miguel & Kremer, 2004).”
DETERMINANTS OF TECHNOLOGY ADOPTION: PEER EFFECTS IN MENSTRUAL CUP TAKE-UP (2012, background): “…2000; Hoxby 2000; Zimmerman 2002; Angrist and Lang 2002; Figlio 2003), labor (e.g. Kling, Liebman and Katz 2007; Munshi 2003), development (e.g. Foster and Rosenzweig 1995; Miguel and Kremer 2004) and industrial organization (e.g., Mas and Moretti 2009; Mobius, Niehaus and Rosenblat 2007).”