Integrating Administrative and Survey Data to Estimate WIC Eligibility and Access

Author:

McBride Linden1,Foster Thomas B2,Bhaskar Renuka3,Prell Mark4,Perez-Patron Maria5,Vickstrom Erik6,Knop Brian7,Dillon Michaela8

Affiliation:

1. Research Economist, US Census Bureau , Center for Economic Studies, 4600 Silver Hill Rd, Washington, DC 20233, USA

2. Center for Economic Studies Senior Sociologist, US Census Bureau, , 4600 Silver Hill Rd, Washington, DC 20233, USA

3. Center for Economic Studies Survey Statistician with the US Census Bureau, , 4600 Silver Hill Rd, Washington, DC 20233, USA

4. Economic Research Service Senior Economist with the US Department of Agriculture, , 1400 Independence Ave., SW, Mail Stop 1800, Washington, DC 20250-0002, USA

5. Research Economist with the US Census Bureau, Center for Economic Studies Statistician/Demographer, , 4600 Silver Hill Rd, Washington, DC 20233, USA

6. Research Economist with the US Census Bureau, Center for Economic Studies Supervisory Survey Statistician, , 4600 Silver Hill Rd, Washington, DC 20233, USA

7. Survey Statistician, Research Economist with the US Census Bureau, Center for Economic Studies , 4600 Silver Hill Rd, Washington, DC 20233, USA

8. US Census Bureau, Center for Economic Studies, 4600 Silver Hill Rd Research Economist with the , Washington, DC 20233, USA

Abstract

Abstract The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides benefits to low-income, nutritionally at-risk women, infants, and children. To administer WIC, officials and program managers at the federal and state levels want to understand who is eligible for the program, who among the eligible population chooses to participate, and who is not accessing the program despite their eligibility. Novel individual-level data linkages between restricted-use WIC Administrative Records and the American Community Survey provide WIC access rates estimated at the state and county levels, as well as estimates disaggregated by the demographic and socioeconomic characteristics of individuals and their households. These estimates are developed by the Census-FNS-ERS Joint Project, a research partnership among the US Census Bureau, the US Department of Agriculture’s Food and Nutrition Service and Economic Research Service, and state WIC agencies that provide the requisite WIC administrative data to the Census Bureau. This article details and evaluates our current data linkage and estimation methods, reports results, and identifies areas for improvement and further research.

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Statistics and Probability

Reference23 articles.

1. Does WIC Work? The Effects of WIC on Pregnancy and Birth Outcomes;Bitler;Journal of Policy Analysis and Management,2005

2. WIC Eligibility and Participation;Bitler;The Journal of Human Resources,2003

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. In Pursuit of Equitable Access in Federal Food and Nutrition Assistance Programs;American Journal of Public Health;2023-12

2. Hansen Lecture 2022: The Evolution of the Use of Models in Survey Sampling;Journal of Survey Statistics and Methodology;2023-06-28

3. Recent Advances in Data Integration;Journal of Survey Statistics and Methodology;2023-04-21

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