IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/10745.html
   My bibliography  Save this paper

Does the Impact of Managed Care on Substance Abuse Treatment Services Vary By Profit Status?

Author

Listed:
  • Jody Sindelar
  • Todd Olmstead

Abstract

We extend our previous research by determining whether, and how, the impact of managed care on substance abuse treatment (SAT) services differs by facility ownership. We use the 2000 National Survey of Substance Abuse Treatment Services that contains data on service offerings and other characteristics of 10,513 SAT facilities. For each group of for-profit, not-for-profit, and public facilities, we estimate the impact of managed care (MC) on the number and types of SAT services offered (i.e., indicators of the quality of care). We use IVs to account for possible endogeneity between facilities' involvement in MC and service offerings. We find substantial differences in the magnitude and direction of the impact of MC by facility ownership. On average, MC causes for-profits to offer approximately four (out of 26) additional services, causes publics to offer approximately four fewer services, and has no impact on the number of services offered by not-for-profits. Our findings raise concerns that managed care may reduce the quality of care provided by public SAT facilities by limiting the range of services offered. On the other hand, for-profit clinics are found to increase their range of services; the societal impact of this is unclear for several reasons.

Suggested Citation

  • Jody Sindelar & Todd Olmstead, 2004. "Does the Impact of Managed Care on Substance Abuse Treatment Services Vary By Profit Status?," NBER Working Papers 10745, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:10745
    Note: AG EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w10745.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glazer, Jacob & McGuire, Thomas G., 2002. "Multiple payers, commonality and free-riding in health care: Medicare and private payers," Journal of Health Economics, Elsevier, vol. 21(6), pages 1049-1069, November.
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. Pauline Vaillancourt Rosenau & Stephen H. Linder, 2003. "Two Decades of Research Comparing For‐Profit and Nonprofit Health Provider Performance in the United States," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 219-241, June.
    4. Ballou, Jeffrey P. & Weisbrod, Burton A., 2003. "Managerial rewards and the behavior of for-profit, governmental, and nonprofit organizations: evidence from the hospital industry," Journal of Public Economics, Elsevier, vol. 87(9-10), pages 1895-1920, September.
    5. Kanika Kapur & Burton A. Weisbrod, 2000. "The Roles of Government and Nonprofit Suppliers in Mixed Industries," Public Finance Review, , vol. 28(4), pages 275-308, July.
    6. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, April.
    7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    8. Hirth, Richard A., 1999. "Consumer information and competition between nonprofit and for-profit nursing homes," Journal of Health Economics, Elsevier, vol. 18(2), pages 219-240, April.
    9. Dranove, David & Satterthwaite, Mark A., 2000. "The industrial organization of health care markets," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 20, pages 1093-1139, Elsevier.
    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. Bondurant, Samuel R. & Lindo, Jason M. & Swensen, Isaac D., 2018. "Substance abuse treatment centers and local crime," Journal of Urban Economics, Elsevier, vol. 104(C), pages 124-133.
    2. Roberto A. Trevino & Alan J. Richard, 2012. "Public Funding and Affordability of Substance Abuse Treatment Services," American Journal of Economics and Business Administration, Science Publications, vol. 4(1), pages 72-83, February.
    3. Swensen, Isaac D., 2015. "Substance-abuse treatment and mortality," Journal of Public Economics, Elsevier, vol. 122(C), pages 13-30.

    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. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    2. Ben-Ner Avner & Karaca-Mandic Pinar & Ren Ting, 2012. "Ownership and Quality in Markets with Asymmetric Information: Evidence from Nursing Homes," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-33, October.
    3. Grabowski, David C. & Hirth, Richard A., 2003. "Competitive spillovers across non-profit and for-profit nursing homes," Journal of Health Economics, Elsevier, vol. 22(1), pages 1-22, January.
    4. repec:wsr:wpaper:y:2010:i:057 is not listed on IDEAS
    5. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    6. Herrmann, Sabine & Kleinert, Jörn, 2014. "Lucas paradox and allocation puzzle: Is the euro area different?," Discussion Papers 06/2014, Deutsche Bundesbank.
    7. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    8. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    9. Jack Hadley & Daniel Polsky & Jeanne S. Mandelblatt & Jean M. Mitchell & Jane C. Weeks & Qin Wang & Yi‐Ting Hwang & OPTIONS Research Team, 2003. "An exploratory instrumental variable analysis of the outcomes of localized breast cancer treatments in a medicare population," Health Economics, John Wiley & Sons, Ltd., vol. 12(3), pages 171-186, March.
    10. Erik Biørn, 2002. "Handling the measurement error problem by means of panel data: Moment methods applied on firm data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-1, International Conferences on Panel Data.
    11. Ormosi, Peter L., 2012. "Claim efficiencies or offer remedies? An analysis of litigation strategies in EC mergers," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 578-592.
    12. Maurice J. G. Bun & Teresa D. Harrison, 2019. "OLS and IV estimation of regression models including endogenous interaction terms," Econometric Reviews, Taylor & Francis Journals, vol. 38(7), pages 814-827, August.
    13. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    14. Kenneth Bollen & Stanislav Kolenikov & Shawn Bauldry, 2014. "Model-Implied Instrumental Variable—Generalized Method of Moments (MIIV-GMM) Estimators for Latent Variable Models," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 20-50, January.
    15. Sylvain Barde, 2008. "The spatial structure of French wages : Investigating the robustness of two-stage least squares estimations of spatial autoregressive models," SciencePo Working papers Main hal-01066157, HAL.
    16. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    17. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
    18. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2019. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1339-1350, July.
    19. Wong, Ka-fu, 1996. "Bootstrapping Hausman's exogeneity test," Economics Letters, Elsevier, vol. 53(2), pages 139-143, November.
    20. Lynda Khalaf & Maral Kichian, 2000. "Testing the Pricing-to-Market Hypothesis: Case of the Transportation Equipment Industry," Staff Working Papers 00-8, Bank of Canada.
    21. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2008. "On Finite Sample Properties of Alternative Estimators of Coefficients in a Structural Equation with Many Instruments," CIRJE F-Series CIRJE-F-577, CIRJE, Faculty of Economics, University of Tokyo.

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

    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:nbr:nberwo:10745. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.