IDEAS home Printed from https://ideas.repec.org/p/lug/wpidep/1402.html
   My bibliography  Save this paper

The relationship between costs and quality in nonprofit nursing homes

Author

Listed:
  • Laura Di Giorgio

    (Institute of Economics (IdEP), University of Lugano, Switzerland; Institute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, USA)

  • Massimo Filippini

    (Institute of Economics (IdEP), University of Lugano; ETH, Zurich, Switzerland)

  • Giuliano Masiero

    (Department of Engineering, University of Bergamo, Italy; Institute of Economics (IdEP), University of Lugano, Switzerland)

Abstract

We investigate the relationship between costs and quality in nonprofit nursing homes, a key issue in the present context of cost containment measures. In accordance with the economic theory of production, we estimate a three-inputs total cost function for nursing home services using data from 45 nursing homes in Switzerland between 2006 and 2010. Quality is measured by means of clinical indicators regarding process and outcome derived from the Minimum Data Set. We consider both composite and single quality indicators. Contrary to previous studies, we use panel data and control for unobserved heterogeneity. This allows to capture nursing homes specific features that may explain differences in structural quality or costs levels. We find evidence that poor levels of quality regarding outcome, as measured by the prevalence of severe pain and weight loss, lead to higher costs. Our results are robust to quality endogeneity concerns.

Suggested Citation

  • Laura Di Giorgio & Massimo Filippini & Giuliano Masiero, 2014. "The relationship between costs and quality in nonprofit nursing homes," IdEP Economic Papers 1402, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpidep:1402
    as

    Download full text from publisher

    File URL: http://doc.rero.ch/record/209725/files/WP1402.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Nils Gutacker & Chris Bojke & Silvio Daidone & Nancy J. Devlin & David Parkin & Andrew Street, 2013. "Truly Inefficient Or Providing Better Quality Of Care? Analysing The Relationship Between Risk‐Adjusted Hospital Costs And Patients' Health Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 22(8), pages 931-947, August.
    3. William D. Spector & Thomas M. Selden & Joel W. Cohen, 1998. "The impact of ownership type on nursing home outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 7(7), pages 639-653, November.
    4. Brekke, Kurt R. & Siciliani, Luigi & Straume, Odd Rune, 2010. "Price and quality in spatial competition," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 471-480, November.
    5. R. G. Evans, 1971. "'Behavioural' Cost Functions for Hospitals," Canadian Journal of Economics, Canadian Economics Association, vol. 4(2), pages 198-215, May.
    6. John R. Bowblis & Stephen Crystal & Orna Intrator & Judith A. Lucas, 2012. "Response To Regulatory Stringency: The Case Of Antipsychotic Medication Use In Nursing Homes," Health Economics, John Wiley & Sons, Ltd., vol. 21(8), pages 977-993, August.
    7. Cremieux, Pierre-Yves & Ouellette, Pierre, 2001. "Omitted variable bias and hospital costs," Journal of Health Economics, Elsevier, vol. 20(2), pages 271-282, March.
    8. Grabowski, David C. & Feng, Zhanlian & Hirth, Richard & Rahman, Momotazur & Mor, Vincent, 2013. "Effect of nursing home ownership on the quality of post-acute care: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 32(1), pages 12-21.
    9. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    10. Harrington, C. & Woolhandler, S. & Mullan, J. & Carrillo, H. & Himmelstein, D.U., 2001. "Does investor ownership of nursing homes compromise the quality of care?," American Journal of Public Health, American Public Health Association, vol. 91(9), pages 1452-1455.
    11. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    12. Gabor Kezdi, 2005. "Robus Standard Error Estimation in Fixed-Effects Panel Models," Econometrics 0508018, University Library of Munich, Germany.
    13. Di Giorgio, Laura & Filippini, Massimo & Masiero, Giuliano, 2014. "Implications of global budget payment system on nursing home costs," Health Policy, Elsevier, vol. 115(2), pages 237-248.
    14. Hahn, Jinyong & Ham, John C. & Moon, Hyungsik Roger, 2011. "The Hausman test and weak instruments," Journal of Econometrics, Elsevier, vol. 160(2), pages 289-299, February.
    15. Gertler, Paul J & Waldman, Donald M, 1992. "Quality-Adjusted Cost Functions and Policy Evaluation in the Nursing Home Industry," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1232-1256, December.
    16. William Rogers, 1994. "Regression standard errors in clustered samples," Stata Technical Bulletin, StataCorp LP, vol. 3(13).
    17. John Bowblis & Judith Lucas, 2012. "The impact of state regulations on nursing home care practices," Journal of Regulatory Economics, Springer, vol. 42(1), pages 52-72, August.
    18. Newhouse, Joseph P., 1994. "Frontier estimation: How useful a tool for health economics?," Journal of Health Economics, Elsevier, vol. 13(3), pages 317-322, October.
    19. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    20. Juha Laine & Miika Linna & Unto Häkkinen & Anja Noro, 2005. "Measuring the productive efficiency and clinical quality of institutional long‐term care for the elderly," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 245-256, March.
    21. Ronald R. Braeutigam & Mark V. Pauly, 1986. "Cost Function Estimation and Quality Bias: The Regulated Automobile Insurance Industry," RAND Journal of Economics, The RAND Corporation, vol. 17(4), pages 606-617, Winter.
    22. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.
    23. David C. Grabowski, 2004. "A Longitudinal Study of Medicaid Payment, Private-Pay Price and Nursing Home Quality," International Journal of Health Economics and Management, Springer, vol. 4(1), pages 5-26, March.
    24. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    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. Cécile Martin & Tiphaine Jérôme, 2016. "Cost (In)Efficiency and Institutional Pressures in Nursing Home Chains," European Accounting Review, Taylor & Francis Journals, vol. 25(4), pages 687-718, October.

    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. L. Di Giorgio & M. Filippini & G. Masiero, 2016. "Is higher nursing home quality more costly?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1011-1026, November.
    2. Martin, Cécile, 2014. "Concurrence, prix et qualité de la prise en charge en EHPAD en France : Analyses micro-économétriques," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/13712 edited by Dormont, Brigitte.
    3. Di Giorgio, Laura & Filippini, Massimo & Masiero, Giuliano, 2014. "Implications of global budget payment system on nursing home costs," Health Policy, Elsevier, vol. 115(2), pages 237-248.
    4. Di Giorgio, L. & Filippini, M. & Masiero, G., 2015. "Structural and managerial cost differences in nonprofit nursing homes," Economic Modelling, Elsevier, vol. 51(C), pages 289-298.
    5. David C. Grabowski & Edward C. Norton, 2012. "Nursing Home Quality of Care," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 29, Edward Elgar Publishing.
    6. Nils Gutacker & Chris Bojke & Silvio Daidone & Nancy J. Devlin & David Parkin & Andrew Street, 2013. "Truly Inefficient Or Providing Better Quality Of Care? Analysing The Relationship Between Risk‐Adjusted Hospital Costs And Patients' Health Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 22(8), pages 931-947, August.
    7. Eric Christensen & Richard Arnould, 2005. "The Impact of Asymmetric Information and Ownership on Nursing Home Access," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 273-297, September.
    8. Massimo Filippini & Nevenka Hrovatin & Jelena Zorić, 2008. "Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods," Journal of Productivity Analysis, Springer, vol. 29(2), pages 169-182, April.
    9. Mark Carlson & Kris James Mitchener, 2009. "Branch Banking as a Device for Discipline: Competition and Bank Survivorship during the Great Depression," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 165-210, April.
    10. Ersin Acikgoz & Hasan Uygurturk & Turhan Korkmaz, 2015. "Analysis of Factors Affecting Growth of Pension Mutual Funds in Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 427-433.
    11. Herr, A. & Saric, A., 2016. "The Welfare Effects of Single Rooms in German Nursing Homes: A Structural Approach," Health, Econometrics and Data Group (HEDG) Working Papers 16/23, HEDG, c/o Department of Economics, University of York.
    12. Cellini, Roberto & Siciliani, Luigi & Straume, Odd Rune, 2018. "A dynamic model of quality competition with endogenous prices," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 190-206.
    13. Massimo Filippini & Giuliano Masiero & Diego Medici, 2012. "The demand for school meals: an analysis of stated choices by Swiss households," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1204, USI Università della Svizzera italiana.
    14. Inoue, Atsushi & Solon, Gary, 2006. "A Portmanteau Test For Serially Correlated Errors In Fixed Effects Models," Econometric Theory, Cambridge University Press, vol. 22(5), pages 835-851, October.
    15. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
    16. Montresor, Sandro & Francesco, Quatraro, 2015. "Do Key Enabling Technologies shape regional Smart Specialization Strategies? A patent based analysis of European data," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201517, University of Turin.
    17. Anwar, Sajid & Sun, Sizhong, 2012. "Trade liberalisation, market competition and wage inequality in China's manufacturing sector," Economic Modelling, Elsevier, vol. 29(4), pages 1268-1277.
    18. Haizhen Lin, 2015. "Quality Choice And Market Structure: A Dynamic Analysis Of Nursing Home Oligopolies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1261-1290, November.
    19. Predrag Bjelić & Danijela Jaćimović & Ivan Tašić, 2013. "Effects Of The World Economic Crisis On Exports In The Ceec: Focus On The Western Balkans," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(196), pages 71-98, January –.
    20. Omar Galárraga & David S. Salkever & Judith A. Cook & Stephen J. Gange, 2010. "An instrumental variables evaluation of the effect of antidepressant use on employment among HIV‐infected women using antiretroviral therapy in the United States: 1996–2004," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 173-188, February.

    More about this item

    Keywords

    nursing home costs; nonprofit; quality indicators; cost-quality tradeoff;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise

    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:lug:wpidep:1402. 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: Alessio Tutino (email available below). General contact details of provider: https://www.bul.sbu.usi.ch .

    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.