Evaluation of Demonstrations of National School Lunch Program and School Breakfast Program Direct Certification of Children Receiving Medicaid Benefits: Access Evaluation Report

Evaluation of Demonstrations of National School Lunch Program and School Breakfast Program Direct Certification of Children Receiving Medicaid Benefits: Access Evaluation Report

Published: Jan 27, 2015
Publisher: Alexandria, VA: U.S. Department of Agriculture, Food and Nutrition Service, Office of Policy Support
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Associated Project

Simplifying Access to School Meals: Using Medicaid Data for Direct Certification

Time frame: 2012-2016

Prepared for:

U.S. Department of Agriculture, Food and Nutrition Service

Clients
USDA
Authors

Anne Gordon

Nicholas Beyler

Allen Schirm

Will Crumbley

This report presents findings from the Access Evaluation, a study component that is designed to assess the potential impacts of DC-M on students’ access to free school meals by conducting retrospective simulations of DC-M in school year 2011–2012, the year before the demonstration began. For the Access Evaluation, researchers at Mathematica collected (1) student enrollment files for a sample of school districts in the demonstration and (2) Medicaid data for school-age children. We matched these two types of files based on individual identifiers, such as name and date of birth, to simulate DC-M. If a student was found to be enrolled in Medicaid, we assessed whether the income information in the Medicaid file indicated that the student would be eligible for free meals and determined the certification status that each student in the school enrollment file would have if DC-M were used in addition to actual SY 2011–2012 certification procedures. Impacts are measured by comparing these simulated certification outcomes under DC-M to districts’ actual certifications that year. Such comparisons reveal the extent to which DC-M could increase the number of students certified for free meals and decrease the reliance on applications. Separate simulations show the potential impact of DC-M under different matching algorithms and policies.

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