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Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition Assistance Program Participation Rates in Fiscal Year 2015 to Fiscal Year 2017 for All Eligible People and Working Poor People
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Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition Assistance Program Participation Rates in Fiscal Year 2015 to Fiscal Year 2017 for All Eligible People and Working Poor People

Published: Aug 28, 2020
Publisher: Washington, DC: Mathematica
Human Services Nutrition Nutrition and Food Assistance Programs Federal Advanced Analytics

Associated Project

Using Microsimulation in Supplemental Nutrition Assistance Program (SNAP) Policy Analysis

Time frame: 2016–Present

Prepared for:

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

Clients

USDA

This report presents estimates that measure the need for SNAP and the program’s effectiveness at reaching its target population in each state for fiscal years 2015 to 2017. Need for the program is measured by estimated numbers of people eligible for SNAP. The program’s performance is measured by estimated SNAP participation rates. In addition to estimates that pertain to all eligible people, we derived estimates for “working poor” people, that is, people who were eligible for SNAP and lived in households in which someone earned income from a job.

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