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Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data

Author

Listed:
  • Melvin Stephens

    (University of Michigan and NBER)

  • Takashi Unayama

    (Hitotsubashi University)

Abstract

Survey nonresponse has risen in recent years, which has increased the share of imputed and underreported values found on commonly used data sets. While this trend has been well documented for earnings, the growth in nonresponse to government transfers questions has received far less attention. We demonstrate analytically that the underreporting and imputation of transfer benefits can lead to program impact estimates that are substantially overstated when using instrumental variables methods to correct for endogeneity or measurement error in benefit amounts. We document the importance of failing to account for these issues using two empirical examples.

Suggested Citation

  • Melvin Stephens & Takashi Unayama, 2019. "Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 468-475, July.
    • Handle: RePEc:tpr:restat:v:101:y:2019:i:3:p:468-475
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    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Pettersson-Lidbom, Per, 2020. "Exit, Voice and Political Change: Evidence from Swedish Mass Migration to the United States A Comment," Research Papers in Economics 2020:3, Stockholm University, Department of Economics, revised 20 Sep 2020.
    3. Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
    4. Padmaja Ayyagari & David Frisvold, 2016. "The Impact of Social Security Income on Cognitive Function at Older Ages Full Access," American Journal of Health Economics, University of Chicago Press, vol. 2(4), pages 463-488, Fall.
    5. Melvin Stephens Jr & Takashi Unayama, 2015. "Child Benefit Payments and Household Wealth Accumulation," The Japanese Economic Review, Japanese Economic Association, vol. 66(4), pages 447-465, December.
    6. Takashi UNAYAMA & Norihiro KOMURA & Takahiro HATTORI, 2021. "Impacts of Cash Transfers on Consumption during the COVID-19 Pandemic: Evidence from Japanese Special Cash Payment (Japanese)," Discussion Papers (Japanese) 21022, Research Institute of Economy, Trade and Industry (RIETI).
    7. Zachary Ward, 2023. "Intergenerational Mobility in American History: Accounting for Race and Measurement Error," American Economic Review, American Economic Association, vol. 113(12), pages 3213-3248, December.
    8. Helen H. Jensen & Brent Kreider & Oleksandr Zhylyevskyy, 2019. "Investigating Treatment Effects of Participating Jointly in SNAP and WIC when the Treatment Is Validated Only for SNAP," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 124-155, July.
    9. Padmaja Ayyagari & David Frisvold, 2015. "The Impact of Social Security Income on Cognitive Function at Older Ages," NBER Working Papers 21484, National Bureau of Economic Research, Inc.
    10. Melvin Stephens, Jr. & Desmond J. Toohey, 2018. "The Impact of Health on Labor Market Outcomes: Experimental Evidence from MRFIT," NBER Working Papers 24231, National Bureau of Economic Research, Inc.
    11. East, Chloe N. & Friedson, Andrew I., 2018. "An Apple a Day? Adult Food Stamp Eligibility and Health Care Utilization Among Immigrants," IZA Discussion Papers 11445, Institute of Labor Economics (IZA).
    12. Cameron LAPOINT & Takashi UNAYAMA, 2020. "Winners, Losers, and Near-Rationality: Heterogeneity in the MPC out of a Large Stimulus Tax Rebate," Discussion papers 20067, Research Institute of Economy, Trade and Industry (RIETI).
    13. Martha J. Bailey & Connor Cole & Morgan Henderson & Catherine Massey, 2020. "How Well Do Automated Linking Methods Perform? Lessons from US Historical Data," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 997-1044, December.
    14. Takahiro HATTORI & Norihiro KOMURA & Takashi UNAYAMA, 2021. "Impact of Cash Transfers on Consumption during the COVID-19 Pandemic: Evidence from Japanese Special Cash Payments," Discussion papers 21043, Research Institute of Economy, Trade and Industry (RIETI).
    15. Karadja, Mounir & Prawitz, Erik, 2020. "A response to Pettersson-Lidbom’s “Exit, Voice and Political Change: Evidence from Swedish Mass Migration to the United States – a Comment”," Working Paper Series 2020:5, Uppsala University, Department of Economics.

    More about this item

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions

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    1. Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data (REStat 2019) in ReplicationWiki

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