IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_12966.html

Moving the Quality Needle? Provider Choice, Waiting Times, and Clinical Outcomes

Author

Listed:
  • Joan Costa-i-Font
  • Juan David Garcia Corchero

Abstract

We examine the effect of the expansion of patient choice of health care provider on measures of process delivery and clinical outcomes central to the functioning of a health system, using a quasi-natural experiment in Spain over 2002–2019. We draw on a staggered adoption of provider choice reforms across Spanish regional health services and a heterogeneity-robust difference-in-differences estimator applied to regionyear panel data alongside individual-level survey data. We estimate that the availability of provider choice reduced specialist waiting times by approximately 17 days (19% of the pre-reform mean) and the use of private specialist visits, without increasing public health spending. The waiting-time and private-utilisation results are robust to excluding the region where the 2009 reform bundled choice with new hospitals, public–private partnerships, and a budget increase. Although we cannot reject zero effects on some clinical outcomes, the evidence is consistent with the thesis that provider choice improves the “quality needle”, namely it improves observable process quality without affecting less-visible clinical dimensions.

Suggested Citation

  • Joan Costa-i-Font & Juan David Garcia Corchero, 2026. "Moving the Quality Needle? Provider Choice, Waiting Times, and Clinical Outcomes," CESifo Working Paper Series 12966, CESifo.
  • Handle: RePEc:ces:ceswps:_12966
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/cesifo1_wp12966.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Black, Bernard & Hollingsworth, Alex & Nunes, Letícia & Simon, Kosali, 2022. "Simulated power analyses for observational studies: An application to the Affordable Care Act Medicaid expansion," Journal of Public Economics, Elsevier, vol. 213(C).
    2. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    3. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    4. Martin Gaynor, "undated". "What Do We Know About Competition and Quality in Health Care Markets?," GSIA Working Papers 2006-E62, Carnegie Mellon University, Tepper School of Business.
    5. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    6. Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
    7. Rita Santos & Hugh Gravelle & Carol Propper, 2017. "Does Quality Affect Patients’ Choice of Doctor? Evidence from England," Economic Journal, Royal Economic Society, vol. 127(600), pages 445-494, March.
    8. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    9. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    10. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    11. Alwyn Young, 2019. "Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 557-598.
    12. Fernández-Pérez, Ángel & Jiménez-Rubio, Dolores & Robone, Silvana, 2022. "Freedom of choice and health services’ performance: Evidence from a national health system," Health Policy, Elsevier, vol. 126(12), pages 1283-1290.
    13. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    14. Propper, Carol, 2018. "Competition in health care: lessons from the English experience," Health Economics, Policy and Law, Cambridge University Press, vol. 13(3-4), pages 492-508, July.
    15. Besley, Timothy & Hall, John & Preston, Ian, 1999. "The demand for private health insurance: do waiting lists matter?," Journal of Public Economics, Elsevier, vol. 72(2), pages 155-181, May.
    16. Siciliani, Luigi & Moran, Valerie & Borowitz, Michael, 2014. "Measuring and comparing health care waiting times in OECD countries," Health Policy, Elsevier, vol. 118(3), pages 292-303.
    17. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    18. Pedro Pita Barros, 2022. "Quality decreases from introducing patient choice in a National Health Service," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 351-381, September.
    Full references (including those not matched with items on IDEAS)

    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. Saakstra, Sake, 2026. "Mechanism Design over Magnitude: A Multi-Jurisdiction Evaluation of Carrot-Policy Effectiveness in Clean-Hydrogen Implementation," MPRA Paper 129309, University Library of Munich, Germany.
    2. Craig S Wright, 2026. "Design-Robust Event-Study Estimation under Staggered Adoption Diagnostics, Sensitivity, and Orthogonalisation," Papers 2601.18801, arXiv.org.
    3. Zhang, Hejie & Fan, Hongzhong, 2026. "Signaling and FDI: Evidence from the international mega-events in China," Emerging Markets Review, Elsevier, vol. 73(C).
    4. Rands, Tales & Barsanetti, Bruno, 2025. "College access spillover on high school performance: Evidence from college openings," Economics of Education Review, Elsevier, vol. 109(C).
    5. Coulibaly, Yacouba & Diallo, Askandarou Cheik, 2025. "Can fiscal rules improve banking system stability in developing countries?," Journal of Macroeconomics, Elsevier, vol. 86(C).
    6. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    7. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2026. "Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists," Journal of Agricultural Economics, Wiley Blackwell, vol. 77(2), pages 356-382, June.
    8. Compagnoni, Marco & Torbert, Jane, 2026. "Environmental and economic effects of pay-as-you-throw waste taxation: An assessment based on difference-in-differences models," Ecological Economics, Elsevier, vol. 246(C).
    9. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    10. Traviss Cassidy & Mark Dincecco & Ugo Antonio Troiano, 2024. "The Introduction of the Income Tax, Fiscal Capacity, and Migration: Evidence from US States," American Economic Journal: Economic Policy, American Economic Association, vol. 16(1), pages 359-393, February.
    11. Francesco Vidoli, 2026. "The Geography of Impact: Endogenous Spatial Clustering for Difference-in-Differences Estimation," Working Papers 2601, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2026.
    12. Young Ahn & Hiroyuki Kasahara, 2026. "Event-Study Designs for Discrete Outcomes with Latent Transition Heterogeneity," Papers 2603.07914, arXiv.org, revised Sep 2026.
    13. Zecharias Anteneh, 2026. "Beyond Parallel Trends in Staggered Difference-in-Differences: Identification under Higher-Order Parallelism," Papers 2606.17977, arXiv.org, revised Jul 2026.
    14. Lyu, Yuan & Zhang, Zhaocheng, 2025. "Impact of primary care market mergers on quality: Evidence from the English NHS," Journal of Health Economics, Elsevier, vol. 104(C).
    15. Böhme, Fabian, 2026. "Unconditional cash transfers and maternal labor supply: Evidence from Bavaria's family allowance," FAU Discussion Papers in Economics 01/2026, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    16. Cocco, Valentin & Chakir, Raja & Mouysset, Lauriane, 2025. "Guilty or scapegoat? Land consolidation and hedgerow decline," Journal of Environmental Economics and Management, Elsevier, vol. 133(C).
    17. Wang, Yimin, 2025. "Links between COVID-19 lockdowns and drug overdose deaths, evidence from panel data," Economics & Human Biology, Elsevier, vol. 58(C).
    18. Kaleb Abreha & Raymond Robertson, 2025. "Revisiting the Effects of Regional Trade Agreements Using Staggered Adoption Design," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 53(3), pages 113-124, September.
    19. Ben Deaner & Chen-Wei Hsiang & Andrei Zeleneev, 2025. "Simple Specification-Free Causal Inference in Large Panels," Papers 2503.20769, arXiv.org, revised Sep 2026.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

    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:ces:ceswps:_12966. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.