IDEAS home Printed from https://ideas.repec.org/p/qld/uqcepa/180.html
   My bibliography  Save this paper

Activity based funding reform and the performance of public hospitals: The Case of Queensland, Australia

Author

Listed:
  • Bao Hoang Nguyen

    (School of Economics and Centre for Efficiency and Productivity Analysis (CEPA) at The University of Queensland, Australia)

  • Shawna Grosskopf

    (Economics, School of Public Policy, Oregon State University, Corvallis, OR 97331, USA)

  • Jongsay Yong

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Parkville, Australia)

  • Valentin Zelenyuk

    (School of Economics and Centre for Efficiency and Productivity Analysis (CEPA) at The University of Queensland, Australia)

Abstract

This study investigates the impact of activity-based funding (ABF) on the performance of hospitals by exploiting a natural experiment that happened in the state of Queensland, Australia. To examine the outcome of the reform, we use both a simple measure of performance (the weighted average length of stay) and more sophisticated ones (the technical efficiency estimated from data envelopment analysis (DEA) models). We try to identify the causal effect of ABF on the technical efficiency of hospitals by incorporating difference-in-differences approach in the popular two-stage DEA framework. We find empirical evidence that ABF improves the technical efficiency of hospitals.

Suggested Citation

  • Bao Hoang Nguyen & Shawna Grosskopf & Jongsay Yong & Valentin Zelenyuk, 2022. "Activity based funding reform and the performance of public hospitals: The Case of Queensland, Australia," CEPA Working Papers Series WP082022, School of Economics, University of Queensland, Australia.
    • Handle: RePEc:qld:uqcepa:180
    as

    Download full text from publisher

    File URL: https://economics.uq.edu.au/files/38788/WP082022.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    2. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    3. Chowdhury, Hedayet & Zelenyuk, Valentin, 2016. "Performance of hospital services in Ontario: DEA with truncated regression approach," Omega, Elsevier, vol. 63(C), pages 111-122.
    4. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    5. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    6. Bao Hoang Nguyen & Valentin Zelenyuk, 2021. "Aggregate efficiency of industry and its groups: the case of Queensland public hospitals," Empirical Economics, Springer, vol. 60(6), pages 2795-2836, June.
    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. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.

    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. Beata Nowok & Allan Findlay & David McCollum, 2018. "Linking residential relocation desires and behaviour with life domain satisfaction," Urban Studies, Urban Studies Journal Limited, vol. 55(4), pages 870-890, March.
    2. Valente, Marica, 2023. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    3. Bas Scheer & Wiljan van den Berge & Maarten Goos & Alan Manning & Anna Salomons, 2022. "Alternative Work Arrangements and Worker Outcomes: Evidence from Payrolling," CPB Discussion Paper 435, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Yuegang Song & Songlin Jin & Zhenhui Li, 2022. "Venture Capital and Chinese Firms’ Technological Innovation Capability: Effective Evaluation and Mechanism Verification," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    5. Andreas Pollak, 2008. "Optimal Unemployment Insurance with Variable Skill Levels," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 164(4), pages 696-726, December.
    6. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    7. Gabrielle Wills, 2016. "Principal leadership changes in South Africa: Investigating their consequences for school performance," Working Papers 01/2016, Stellenbosch University, Department of Economics.
    8. Lídia Farré & Francesco Fasani & Hannes Mueller, 2018. "Feeling useless: the effect of unemployment on mental health in the Great Recession," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-34, December.
    9. Marta Silva & José Garcia-Louzão, 2021. "Coworker Networks and the Labor Market Outcomes of Displaced Workers: Evidence from Portugal," Working Papers w202121, Banco de Portugal, Economics and Research Department.
    10. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.
    11. Lawrence F. Katz, 1994. "Active labor market policies to expand employment and opportunity," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, issue Jan, pages 239-322.
    12. Giovanni Millo & Gaetano Carmeci, 2011. "Non-life insurance consumption in Italy: a sub-regional panel data analysis," Journal of Geographical Systems, Springer, vol. 13(3), pages 273-298, September.
    13. Kristiina Huttunen & Jarle Møen & Kjell G. Salvanes, 2018. "Job Loss and Regional Mobility," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 479-509.
    14. Philipp vom Berge & Achim Schmillen, 2023. "Effects of mass layoffs on local employment—evidence from geo-referenced data," Journal of International Economic Law, Oxford University Press, vol. 23(3), pages 509-539.
    15. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    16. Emilia Del Bono & Andrea Weber & Rudolf Winter-Ebmer, 2012. "Clash Of Career And Family: Fertility Decisions After Job Displacement," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 659-683, August.
    17. Moritz Kuhn, 2017. "The Research Agenda: Moritz Kuhn on Understanding income and wealth inequality," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 18(1), April.
    18. Ichino, Andrea & Schwerdt, Guido & Winter-Ebmer, Rudolf & Zweimüller, Josef, 2017. "Too old to work, too young to retire?," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 14-29.
    19. Shinsuke Asakawa, 2020. "Can Child Benefits Shape Parents' Attitudes toward Childrearing in Japan?: Effects of Child Benefit Policy Expansions," Discussion Papers in Economics and Business 19-04-Rev.2, Osaka University, Graduate School of Economics.
    20. Nguyen, Bao Hoang & Simar, Léopold & Zelenyuk, Valentin, 2022. "Data sharpening for improving central limit theorem approximations for data envelopment analysis–type efficiency estimators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1469-1480.

    More about this item

    Keywords

    Hospital effciency; Activity based funding; Healthcare reform; DEA; Differencein- Differences; Truncated regression.;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public 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:qld:uqcepa:180. 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: SOE IT (email available below). General contact details of provider: https://edirc.repec.org/data/decuqau.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.