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"original_study": {
"claim": {
"hypothesis": "Providing ACT at a subsidized price increases the likelihood of taking ACT.",
"hypothesis_location": "The expectation is developed in the discussion of the price-intervention design and the motivation for assessing whether lowering the ACT price increases medication uptake in Section II: Theoretical Framework.",
"statement": "The regression results indicate that the presence of an ACT subsidy has a positive and statistically significant effect on obtaining ACTs; the estimated coefficient is 0.187.",
"statement_location": "Regression results table 2: coefficient on the indicator for any ACT subsidy reported as 0.187 with a standard error of 0.038, significant at the one-percent level.",
"study_type": "Experimental (Randomized Controlled Trial)."
},
"data": {
"source": "Data collected by the research team during the ACT price-subsidy randomized controlled trial implemented in Western Kenya.",
"wave_or_subset": "May - December 2009.",
"sample_size": "2789.",
"unit_of_analysis": "Individual household illness episode or voucher recipient.",
"access_details": "not stated",
"notes": "The subsidy level was randomized, creating exogenous variation in the cost of ACT to households. Standard errors are clustered at the household level."
},
"method": {
"description": "The study estimates the causal influence of subsidizing ACTs on household take-up by randomly varying ACT prices and regressing ACT acquisition on the subsidy indicator.",
"steps": [
"Randomly assign different ACT price levels to households through voucher offers.",
"Observe whether each household obtained ACT following an illness episode.",
"Construct an indicator variable for whether the ACT was subsidized in that household’s voucher assignment.",
"Estimate a linear probability model of ACT take-up on the subsidy indicator.",
"Cluster standard errors at the household level to account for repeated observations within households."
],
"models": "Linear probability regression of ACT acquisition on the indicator for receiving an ACT subsidy.",
"outcome_variable": "Indicator equal to 1 if the household acquired ACT for an illness episode.",
"independent_variables": "Indicator for assignment to any ACT subsidy.",
"control_variables": "not stated",
"tools_software": "not stated"
},
"results": {
"summary": "Assignment to an ACT subsidy significantly increases the probability that households obtain ACTs. The estimated effect size is positive and statistically significant at the one-percent level.",
"numerical_results": [
{
"outcome_name": "ACT take-up",
"value": 0.187,
"unit": "change in probability of obtaining ACT associated with subsidy assignment",
"effect_size": "linear probability coefficient = 0.187",
"confidence_interval": {
"lower": "not stated",
"upper": "not stated",
"level": "not stated"
},
"p_value": "< 0.01",
"statistical_significance": 1,
"direction": "positive"
}
]
},
"metadata": {
"original_paper_id": "10.1257/aer.20130267",
"original_paper_title": "Price Subsidies, Diagnostic Tests, and Targeting of Malaria Treatment: Evidence from a Randomized Controlled Trial",
"original_paper_code": "not stated",
"original_paper_data": "not stated"
}
}
} |