This study evaluated the implementation and impact of these taxes in four cities, primarily in Philadelphia and Oakland, with additional analysis in San Francisco and Seattle.
Discover more findings from the School Nutrition and Meal Cost Study.Read more
Mathematica’s nutrition research uncovers evidence to help improve food and nutrition support for individuals, families, and communities. From the studying the effects of targeted taxes on consumption of sugar-sweetened beverages to examining the impact of providing employment and training services to participants in the Special Nutrition Assistance Program (SNAP), we partner with federal, state, and local decision makers on their journeys from inquiry to insight.
Mathematica’s expertise ranges from evaluating programs meant to prevent childhood obesity, promote consumption of fruits and vegetables, and improve household food security to conducting microsimulations of changes to SNAP eligibility requirements. Drawing from a toolbox that ranges from rapid-learning approaches to complex random assignment evaluations, we bring rigor and objectivity in collaborating with our partners.
Multi-City Evaluation of Sugar-Sweetened Beverage (SSB) Taxes
The School Nutrition and Meal Cost Study (SNMCS)
The School Nutrition and Meal Cost Study provides data on a broad array of topics, including critical information about the food and nutrient content of school meals, the costs of school meals, the food environments in schools, and the contribution of school meals to children's overall diets.
Aparna Keshaviah is an applied statistician who works at the developmental cusp of emerging public health topics.Featured Projects
- Improving Children's Diets: Evaluation of the Canned, Frozen, or Dried Fruits and Vegetables Pilot
- Health Care Surveys: Analysis and Presentation of Findings
- Innovative Methods to Improve the Measurement, Treatment, and Prevention of Opioid Misuse
- A Randomized Clinical Trial Comparing Cognitive Behavioral Therapy vs Supportive Psychotherapy to Treat Body Dysmorphic Disorder
- Population Health