IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v76y2002i1p129-135.html
   My bibliography  Save this article

Optimal contributions to flexible spending accounts

Author

Listed:
  • Bhattacharya, Jayanta
  • Schoenbaum, Michael
  • Sood, Neeraj

Abstract

No abstract is available for this item.

Suggested Citation

  • Bhattacharya, Jayanta & Schoenbaum, Michael & Sood, Neeraj, 2002. "Optimal contributions to flexible spending accounts," Economics Letters, Elsevier, vol. 76(1), pages 129-135, June.
  • Handle: RePEc:eee:ecolet:v:76:y:2002:i:1:p:129-135
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(02)00037-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    2. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    3. Cuddington, John T., 1999. "Optimal annual contributions to flexible spending accounts: a rule-of-thumb," Economics Letters, Elsevier, vol. 62(1), pages 59-61, January.
    4. Nunnikhoven, Thomas S., 1992. "Finding the optimal allocation to a health-care reimbursement account," Insurance: Mathematics and Economics, Elsevier, vol. 11(3), pages 223-235, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barton H. Hamilton & James Marton, 2008. "Employee choice of flexible spending account participation and health plan," Health Economics, John Wiley & Sons, Ltd., vol. 17(7), pages 793-813, July.
    2. Jessica Leight & Nicholas Wilson, 2020. "Framing Flexible Spending Accounts: A Large‐Scale Field Experiment on Communicating the Return on Medical Savings Accounts," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 195-208, February.

    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. Kuhn, Michael & Frankovic, Ivan & Wrzaczek, Stefan, 2017. "Medical Progress, Demand for Health Care, and Economic Performance," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168249, Verein für Socialpolitik / German Economic Association.
    2. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    3. Anikó Bíró, 2014. "Supplementary private health insurance and health care utilization of people aged 50+," Empirical Economics, Springer, vol. 46(2), pages 501-524, March.
    4. Juergen Jung & Chung Tran, 2016. "Market Inefficiency, Insurance Mandate and Welfare: U.S. Health Care Reform 2010," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 132-159, April.
    5. Kai (Jackie) Zhao, 2011. "Social Security and the Rise in Health Spending: A Macroeconomic Analysis," 2011 Meeting Papers 1061, Society for Economic Dynamics.
    6. Borger, Christine & Rutherford, Thomas F. & Won, Gregory Y., 2008. "Projecting long term medical spending growth," Journal of Health Economics, Elsevier, vol. 27(1), pages 69-88, January.
    7. Reona Hagiwara, 2022. "Welfare Effects of Health Insurance Reform: The Role of Elastic Medical Demand," IMES Discussion Paper Series 22-E-05, Institute for Monetary and Economic Studies, Bank of Japan.
    8. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    9. Laura R. Wherry & Bruce D. Meyer, 2016. "Saving Teens: Using a Policy Discontinuity to Estimate the Effects of Medicaid Eligibility," Journal of Human Resources, University of Wisconsin Press, vol. 51(3), pages 556-588.
    10. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    11. Barbaresco, Silvia & Courtemanche, Charles J. & Qi, Yanling, 2015. "Impacts of the Affordable Care Act dependent coverage provision on health-related outcomes of young adults," Journal of Health Economics, Elsevier, vol. 40(C), pages 54-68.
    12. Hoke, Omer & Dunn, Richard, 2016. "The Effect of Early ACA Medicaid Expansion on Mental Health," Working Paper series 290123, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    13. Mocan, H. Naci & Tekin, Erdal & Zax, Jeffrey S., 2004. "The Demand for Medical Care in Urban China," World Development, Elsevier, vol. 32(2), pages 289-304, February.
    14. Alpert, Abby, 2016. "The anticipatory effects of Medicare Part D on drug utilization," Journal of Health Economics, Elsevier, vol. 49(C), pages 28-45.
    15. Yuping Tsai, 2018. "Social Security Income and Health Care Spending: Evidence from the Social Security Notch," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(2), pages 440-464, April.
    16. Khwaja, Ahmed, 2010. "Estimating willingness to pay for medicare using a dynamic life-cycle model of demand for health insurance," Journal of Econometrics, Elsevier, vol. 156(1), pages 130-147, May.
    17. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    18. Marianne Simonsen & Lars Skipper & Niels Skipper, 2016. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 320-337, March.
    19. Raquel Fonseca & Pierre-Carl Michaud & Titus Galama & Arie Kapteyn, 2021. "Accounting for the Rise of Health Spending and Longevity," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 536-579.
    20. Ruhm, Christopher J., 2003. "Good times make you sick," Journal of Health Economics, Elsevier, vol. 22(4), pages 637-658, July.

    More about this item

    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:eee:ecolet:v:76:y:2002:i:1:p:129-135. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.