IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16294.html
   My bibliography  Save this paper

Certification and Recertification in Welfare Programs: What Happens When Automation Goes Wrong?

Author

Listed:
  • Wu, Derek

    (University of Virginia)

  • Meyer, Bruce D.

    (University of Chicago)

Abstract

How do administrative burdens influence enrollment in different welfare programs? Who is screened out at a given stage? This paper studies the impacts of increased administrative burdens associated with the automation of welfare caseworker assistance, leveraging a unique natural experiment in Indiana in which the IBM Corporation remotely processed applications for two-thirds of all counties. Using linked administrative records covering nearly 3 million program recipients, the results show that SNAP, TANF, and Medicaid enrollments fell by 15%, 24%, and 4% one year after automation, with these heterogeneous declines largely attributable to cross-program differences in recertification costs. Earlier-treated and higher-poverty counties experienced larger declines in welfare receipt. More needy individuals were screened out at exit while less needy individuals were screened out at entry, a novel distinction that would be missed by typical measures of targeting which focus on average changes overall. The decline in Medicaid enrollment exhibited considerable permanence after IBM's automated system was disbanded, suggesting potential long-term consequences of increased administrative burdens.

Suggested Citation

  • Wu, Derek & Meyer, Bruce D., 2023. "Certification and Recertification in Welfare Programs: What Happens When Automation Goes Wrong?," IZA Discussion Papers 16294, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16294
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16294.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dayanand S. Manoli & Nicholas Turner, 2014. "Nudges and Learning: Evidence from Informational Interventions for Low-Income Taxpayers," NBER Working Papers 20718, National Bureau of Economic Research, Inc.
    2. Bruce D. Meyer & Nikolas Mittag, 2019. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 176-204, April.
    3. Gray, Colin, 2019. "Leaving benefits on the table: Evidence from SNAP," Journal of Public Economics, Elsevier, vol. 179(C).
    4. Manasi Deshpande & Yue Li, 2019. "Who Is Screened Out? Application Costs and the Targeting of Disability Programs," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 213-248, November.
    5. Kopczuk, Wojciech & Pop-Eleches, Cristian, 2007. "Electronic filing, tax preparers and participation in the Earned Income Tax Credit," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1351-1367, August.
    6. Scott Cunningham & Manisha Shah, 2018. "Decriminalizing Indoor Prostitution: Implications for Sexual Violence and Public Health," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1683-1715.
    7. Rossin-Slater, Maya, 2013. "WIC in your neighborhood: New evidence on the impacts of geographic access to clinics," Journal of Public Economics, Elsevier, vol. 102(C), pages 51-69.
    8. Nichols, D & Smolensky, E & Tideman, T N, 1971. "Discrimination by Waiting Time in Merit Goods," American Economic Review, American Economic Association, vol. 61(3), pages 312-323, June.
    9. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    10. Beth Osborne Daponte & Seth Sanders & Lowell Taylor, 1999. "Why Do Low-Income Households not Use Food Stamps? Evidence from an Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 612-628.
    11. Amy Finkelstein & Matthew J Notowidigdo, 2019. "Take-Up and Targeting: Experimental Evidence from SNAP," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1505-1556.
    12. Anita Mukherjee, 2021. "Impacts of Private Prison Contracting on Inmate Time Served and Recidivism," American Economic Journal: Economic Policy, American Economic Association, vol. 13(2), pages 408-438, May.
    13. Philip Armour, 2018. "The Role of Information in Disability Insurance Application: An Analysis of the Social Security Statement Phase-In," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 1-41, August.
    14. Saurabh Bhargava & Dayanand Manoli, 2015. "Psychological Frictions and the Incomplete Take-Up of Social Benefits: Evidence from an IRS Field Experiment," American Economic Review, American Economic Association, vol. 105(11), pages 3489-3529, November.
    15. Damon Jones & Ioana Marinescu, 2022. "The Labor Market Impacts of Universal and Permanent Cash Transfers: Evidence from the Alaska Permanent Fund," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 315-340, May.
    16. Andrew Barr & Sarah Turner, 2018. "A Letter and Encouragement: Does Information Increase Postsecondary Enrollment of UI Recipients?," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 42-68, August.
    17. Tatiana Homonoff & Jason Somerville, 2021. "Program Recertification Costs: Evidence from SNAP," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 271-298, November.
    18. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    19. Besley, Timothy & Coate, Stephen, 1992. "Workfare versus Welfare Incentive Arguments for Work Requirements in Poverty-Alleviation Programs," American Economic Review, American Economic Association, vol. 82(1), pages 249-261, March.
    20. Mark Duggan & Jonathan Gruber & Boris Vabson, 2018. "The Consequences of Health Care Privatization: Evidence from Medicare Advantage Exits," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 153-186, February.
    21. Bruce D. Meyer & James X. Sullivan, 2012. "Winning the War: Poverty from the Great Society to the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 133-200.
    22. Avraham Ebenstein & Kevin Stange, 2010. "Does inconvenience explain low take-up? Evidence from unemployment insurance," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 111-136.
    23. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    24. Eric P. Bettinger & Bridget Terry Long & Philip Oreopoulos & Lisa Sanbonmatsu, 2012. "The Role of Application Assistance and Information in College Decisions: Results from the H&R Block Fafsa Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1205-1242.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ha Trong Nguyen & Huong Thu Le & Luke B Connelly, 2021. "Who's declining the “free lunch”? New evidence from the uptake of public child dental benefits," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 270-288, February.
    2. Tatiana Homonoff & Jason Somerville, 2021. "Program Recertification Costs: Evidence from SNAP," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 271-298, November.
    3. Manasi Deshpande & Yue Li, 2019. "Who Is Screened Out? Application Costs and the Targeting of Disability Programs," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 213-248, November.
    4. Philip Armour & Melanie A. Zaber, 2020. "Does Student Loan Forgiveness Drive Disability Application?," NBER Working Papers 26787, National Bureau of Economic Research, Inc.
    5. Goldin, Jacob & Homonoff, Tatiana & Javaid, Rizwan & Schafer, Brenda, 2022. "Tax filing and take-up: Experimental evidence on tax preparation outreach and benefit claiming," Journal of Public Economics, Elsevier, vol. 206(C).
    6. Hervelin Jérémy, 2022. "Directing young dropouts via SMS: evidence from a field experiment," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-12, January.
    7. Narayan, Ayushi, 2020. "Does simplifying the college financial aid process matter?," Economics of Education Review, Elsevier, vol. 75(C).
    8. Cairo, Sofie & Mahlstedt, Robert, 2023. "The disparate effects of information provision: A field experiment on the work incentives of social welfare," Journal of Public Economics, Elsevier, vol. 226(C).
    9. Abe Dunn & Joshua D Gottlieb & Adam Hale Shapiro & Daniel J Sonnenstuhl & Pietro Tebaldi, 2024. "A Denial a Day Keeps the Doctor Away," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 187-233.
    10. Dodini, Samuel & Larrimore, Jeff & Tranfaglia, Anna, 2024. "Financial repercussions of SNAP work requirements," Journal of Public Economics, Elsevier, vol. 229(C).
    11. Jacob Goss & Daniel Mangrum & Joelle Scally, 2023. "Assessing the Relative Progressivity of the Biden Administration’s Federal Student Loan Forgiveness Proposal," Staff Reports 1046, Federal Reserve Bank of New York.
    12. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Ririn Purnamasari & Matthew Wai-Poi, 2016. "Self-Targeting: Evidence from a Field Experiment in Indonesia," Journal of Political Economy, University of Chicago Press, vol. 124(2), pages 371-427.
    13. Laura Castell & Marc Gurgand & Clément Imbert & Todor Tochev, 2024. "Take-up of Social Benefits: Experimental Evidence from France," PSE Working Papers halshs-04720989, HAL.
    14. Julie Janssens & Natascha Van Mechelen, 2017. "Who is to Blame? An Overview of the Factors Contributing to the Non-Take-Up of Social Rights," Working Papers 1708, Herman Deleeck Centre for Social Policy, University of Antwerp.
    15. Robert W. Hahn & Robert D. Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," American Economic Review, American Economic Association, vol. 111(5), pages 1658-1688, May.
    16. Humphries, John Eric & Neilson, Christopher A. & Ulyssea, Gabriel, 2020. "Information frictions and access to the Paycheck Protection Program," Journal of Public Economics, Elsevier, vol. 190(C).
    17. Colin Gray & Adam Leive & Elena Prager & Kelsey Pukelis & Mary Zaki, 2023. "Employed in a SNAP? The Impact of Work Requirements on Program Participation and Labor Supply," American Economic Journal: Economic Policy, American Economic Association, vol. 15(1), pages 306-341, February.
    18. Aimee Chabot & Maximilian Hell, 2023. "Using Technology and Iterative Research to Strengthen the Social Safety Net," The ANNALS of the American Academy of Political and Social Science, , vol. 706(1), pages 256-275, March.
    19. Heather Klemick & Ann Wolverton & Bryan Parthum & Kristin Epstein & Sandra Kutzing & Sarah Armstrong, 2024. "Factors Influencing Customer Participation in a Program to Replace Lead Pipes for Drinking Water," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(3), pages 791-832, March.
    20. Guan, Hongyu & Yang, Tianli & Zhang, Yunyun & Shi, Yaojiang, 2023. "Time's ticking! Effects of deadline on the utilization of health services: Evidence from a cluster-randomized controlled trial," Social Science & Medicine, Elsevier, vol. 338(C).

    More about this item

    Keywords

    welfare programs; automation; take-up; targeting; administrative burdens;
    All these keywords.

    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp16294. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.