Related Experiment Video
Updated: Jun 10, 2026

Transcutaneous Microcirculatory Imaging in Preterm Neonates
Published on: December 31, 2015
ESTIMATING MARGINAL RETURNS TO MEDICAL CARE: EVIDENCE FROM AT-RISK NEWBORNS
Douglas Almond1, Joseph J Doyle, Amanda E Kowalski
1Columbia University and NBER, MIT and NBER, Yale University and NBER, Harvard University.
Insights
Medical spending near the 1500-gram threshold significantly reduces newborn mortality. This study estimates the cost of saving a statistical life for very low birth weight infants, providing crucial data for healthcare policy decisions.
Area of Science:
- Health Economics
- Perinatal Medicine
- Biostatistics
Background:
- Assessing the cost-effectiveness of medical interventions is crucial for healthcare policy.
- Diagnostic thresholds can create natural experiments for evaluating medical spending impacts.
- The very low birth weight (VLBW) designation, often around 1500 grams, triggers intensive medical care.
Purpose of the Study:
- To estimate the marginal returns of medical spending on newborn health outcomes.
- To determine the cost of saving a statistical life (CSL) for infants near the VLBW threshold.
- To utilize regression discontinuity design (RDD) to analyze the impact of medical inputs.
Main Methods:
- Employed RDD to compare outcomes for newborns just below and above the 1500-gram birth weight threshold.
- Utilized US birth census data (1983-2002) for mortality analysis.
- Analyzed hospital discharge records (1991-2006) for medical input and cost data.
Main Results:
- Newborns just below 1500 grams had significantly lower one-year mortality rates (approx. 1 percentage point reduction).
- Infants below the 1500-gram threshold experienced discontinuously higher medical costs (approx. $4,000 increase).
- Estimated cost of saving a statistical life for VLBW infants near 1500 grams is approximately $550,000 (2006 dollars).
Conclusions:
- The marginal benefits of medical spending for VLBW infants appear to exceed their costs.
- The 1500-gram threshold effectively identifies infants who benefit significantly from intensive medical care.
- Findings support the value of targeted medical interventions for high-risk newborns.
Abstract:
A key policy question is whether the benefits of additional medical expenditures exceed their costs. We propose a new approach for estimating marginal returns to medical spending based on variation in medical inputs generated by diagnostic thresholds. Specifically, we combine regression discontinuity estimates that compare health outcomes and medical treatment provision for newborns on either side of the very low birth weight threshold at 1500 grams. First, using data on the census of US births in available years from 1983-2002, we find that newborns with birth weights just below 1500 grams have lower one-year mortality rates than do newborns with birth weights just above this cutoff, even though mortality risk tends to decrease with birth weight. One-year mortality falls by approximately one percentage point as birth weight crosses 1500 grams from above, which is large relative to mean infant mortality of 5.5% just above 1500 grams. Second, using hospital discharge records for births in five states in available years from 1991-2006, we find that newborns with birth weights just below 1500 grams have discontinuously higher charges and frequencies of specific medical inputs. Hospital costs increase by approximately $4,000 as birth weight crosses 1500 grams from above, relative to mean hospital costs of $40,000 just above 1500 grams. Under an assumption that observed medical spending fully captures the impact of the "very low birth weight" designation on mortality, our estimates suggest that the cost of saving a statistical life of a newborn with birth weight near 1500 grams is on the order of $550,000 in 2006 dollars.
More Related Videos
Related Concept Videos
Regression Toward the Mean
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Kaplan-Meier Approach

