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The National School Lunch Program Direct Certification Improvement Study: Analysis of Unmatched Records (Summary)

Author

Listed:
  • Quinn Moore
  • Andrew Gothro
  • Kevin Conway
  • Brandon Kyler

Abstract

An analysis of National School Lunch Program (NSLP) application records and state Supplemental Nutrition Assistance Program (SNAP) participation data revealed characteristics of school-age SNAP participants who are less likely to be matched in direct certification data matching processes. Children with long, uncommon names are less likely to be matched using restrictive deterministic algorithms. These name characteristics correlate with student race and ethnicity, suggesting deterministic matching algorithms might lead to divergent access to school meal benefits by race and ethnicity.

Suggested Citation

  • Quinn Moore & Andrew Gothro & Kevin Conway & Brandon Kyler, 2014. "The National School Lunch Program Direct Certification Improvement Study: Analysis of Unmatched Records (Summary)," Mathematica Policy Research Reports 993a27aa45eb441e926cb6ed3, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:993a27aa45eb441e926cb6ed31c25952
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    File URL: http://www.fns.usda.gov/sites/default/files/ops/NSLPDirectCertificationImprovement-UnMatched-Summary.pdf
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