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The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments

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  • Tal Gross
  • Timothy Layton
  • Daniel Prinz

Abstract

Some consumers lack the cash needed to pay for medical care. As a result, they either delay care until they can pay for it or they forgo the care altogether. To test for such a possibility, we study the distribution of monthly Social Security checks among Medicare Part D enrollees. When Social Security checks are distributed, prescription fills increase by 6-12 percent. In that sense, drug consumption of low-income Medicare recipients is "liquidity sensitive." We then study recipients who transition onto a program that eliminates copayments. When those recipients do not face copayments, their drug consumption becomes less liquidity sensitive. That finding implies that, beyond risk protection, generous insurance also provides recipients with the ability to consume healthcare when they need it rather than when they have cash. Further, we find that recipients whose drug consumption is most liquidity sensitive exhibit price elasticities of demand that are twice the size of the average elasticity, suggesting that more-generous insurance causes recipients both to re-time prescription filling and also to start filling prescriptions that they otherwise would not fill. We present a stylized model that uses this finding to call into question the conventional interpretation of demand-response to price as solely inefficient moral hazard.

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  • Tal Gross & Timothy Layton & Daniel Prinz, 2020. "The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments," NBER Working Papers 27977, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27977
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    Cited by:

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    2. Liu, Hong & Ma, Jinqiu & Zhao, Liqiu, 2023. "Public long-term care insurance and consumption of elderly households: Evidence from China," Journal of Health Economics, Elsevier, vol. 90(C).
    3. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.
    4. Victor Hernandez Martinez & Kaixin Liu, 2022. "The Value of Unemployment Insurance: Liquidity vs. Insurance Value," Working Papers 22-16, Federal Reserve Bank of Cleveland.
    5. Yang, Feng-An & Chang, Hung-Hao, 2023. "Impact of a pension program on healthcare utilization among older farmers: Empirical evidence from health claims data," World Development, Elsevier, vol. 169(C).
    6. Nianzhai Ma & Weizeng Sun & Zhen Wang, 2022. "Host Identity and Consumption Behavior: Evidence from Rural–Urban Migrants in China," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    7. Carlos Alberto Belchior & Yara Gomes, 2022. "Liquidity constraints, cash transfers and the demand for health care in the Covid‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 31(11), pages 2369-2380, November.
    8. Guettabi, Mouhcine & Witman, Allison, 2023. "Universal cash transfers and prescription utilization: Evidence from the Alaska permanent fund dividend," Journal of Health Economics, Elsevier, vol. 90(C).
    9. Aurélien Baillon & Owen O'Donnell & Stella Quimbo & Kim van Wilgenburg, 2022. "Do time preferences explain low health insurance take‐up?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 951-983, December.
    10. Amitabh Chandra & Evan Flack & Ziad Obermeyer, 2021. "The Health Costs of Cost-Sharing," NBER Working Papers 28439, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • G5 - Financial Economics - - Household Finance
    • H0 - Public Economics - - General
    • I1 - Health, Education, and Welfare - - Health
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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