IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v333y2023ics0277953623004963.html
   My bibliography  Save this article

The impact of devolution on experienced health and well-being

Author

Listed:
  • Wei, Yao
  • Anselmi, Laura
  • Munford, Luke
  • Sutton, Matt

Abstract

Devolution of health systems from national to local levels is a common focus of policymakers across the world. The overarching aim is to improve population health by better meeting the specific needs of local citizens. We examine the case of a coordinated devolution across several public service sectors in Greater Manchester, England, in 2016. We estimate the impact on experienced health and well-being using Short-Form 12 scores from 13,938 adult respondents to the UK Household Longitudinal Survey between 2012 and 2020. We use difference-in-differences and lagged-dependent variable regressions to compare Greater Manchester to the rest of England. We find no statistically significant changes in experienced health and well-being over the four years following the start of devolution. Our findings suggest that devolving population health management alone without budgetary powers and local accountability mechanisms may not be effective in improving experienced health and well-being in the relatively short-term.

Suggested Citation

  • Wei, Yao & Anselmi, Laura & Munford, Luke & Sutton, Matt, 2023. "The impact of devolution on experienced health and well-being," Social Science & Medicine, Elsevier, vol. 333(C).
    • Handle: RePEc:eee:socmed:v:333:y:2023:i:c:s0277953623004963
    DOI: 10.1016/j.socscimed.2023.116139
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953623004963
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2023.116139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
    2. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    3. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    4. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    5. 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.
    6. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    7. Sumah, Anthony Mwinkaara & Baatiema, Leonard & Abimbola, Seye, 2016. "The impacts of decentralisation on health-related equity: A systematic review of the evidence," Health Policy, Elsevier, vol. 120(10), pages 1183-1192.
    8. Joan Costa-Font & Francesco Moscone, 2009. "The impact of decentralization and inter-territorial interactions on Spanish health expenditure," Studies in Empirical Economics, in: Giuseppe Arbia & Badi H. Baltagi (ed.), Spatial Econometrics, pages 167-184, Springer.
    9. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    10. Brewer Mike & Crossley Thomas F. & Joyce Robert, 2018. "Inference with Difference-in-Differences Revisited," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-16, January.
    11. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    12. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    13. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    14. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    15. Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B., 2011. "Inference with dependent data using cluster covariance estimators," Journal of Econometrics, Elsevier, vol. 165(2), pages 137-151.
    16. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    17. Cavalieri, Marina & Ferrante, Livio, 2016. "Does fiscal decentralization improve health outcomes? Evidence from infant mortality in Italy," Social Science & Medicine, Elsevier, vol. 164(C), pages 74-88.
    18. Sean Dougherty & Luca Lorenzoni & Alberto Marino & Fabrice Murtin, 2022. "The impact of decentralisation on the performance of health care systems: a non-linear relationship," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 705-715, June.
    19. Soto, Victoria Eugenia & Farfan, Maria Isabel & Lorant, Vincent, 2012. "Fiscal decentralisation and infant mortality rate: The Colombian case," Social Science & Medicine, Elsevier, vol. 74(9), pages 1426-1434.
    20. Jiménez-Rubio, Dolores, 2011. "The impact of fiscal decentralization on infant mortality rates: Evidence from OECD countries," Social Science & Medicine, Elsevier, vol. 73(9), pages 1401-1407.
    21. Weingast, Barry R., 2009. "Second generation fiscal federalism: The implications of fiscal incentives," Journal of Urban Economics, Elsevier, vol. 65(3), pages 279-293, 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. Britteon, Philip & Fatimah, Alfariany & Gillibrand, Stephanie & Lau, Yiu-Shing & Anselmi, Laura & Wilson, Paul & Sutton, Matt & Turner, Alex J., 2024. "The impact of devolution on local health systems: Evidence from Greater Manchester, England," Social Science & Medicine, Elsevier, vol. 348(C).

    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. 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.
    2. 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.
    3. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    4. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    5. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    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. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    8. 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.
    9. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
    10. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
    11. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for binary response models," Papers 2406.00650, arXiv.org.
    12. Jiménez-Rubio, Dolores & García-Gómez, Pilar, 2017. "Decentralization of health care systems and health outcomes: Evidence from a natural experiment," Social Science & Medicine, Elsevier, vol. 188(C), pages 69-81.
    13. Todd Morris & Benoit Dostie, 2023. "Graying and staying on the job: The welfare implications of employment protection for older workers," Cahiers de recherche / Working Papers 15, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
    14. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.
    15. Carpenter, Christopher S. & Gonzales, Gilbert & McKay, Tara & Sansone, Dario, 2020. "Effects of the Affordable Care Act Dependent Coverage Mandate on Health Insurance Coverage for Individuals in Same-Sex Couples," IZA Discussion Papers 13119, Institute of Labor Economics (IZA).
    16. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    17. Hirvonen, Kalle & Machado, Elia Axinia & Simons, Andrew M., 2024. "Do social protection programs reduce conflict risk? Evidence from a large-scale safety net program in rural Ethiopia," 2024 Annual Meeting, July 28-30, New Orleans, LA 343590, Agricultural and Applied Economics Association.
    18. Ryota Nakatani & Qianqian Zhang & Isaura Garcia Valdes, 2024. "Health Expenditure Decentralization and Health Outcomes: The Importance of Governance," Publius: The Journal of Federalism, CSF Associates Inc., vol. 54(1), pages 59-87.
    19. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    20. Brandts, Jordi & Busom, Isabel & Lopez-Mayan, Cristina & Panadés, Judith, 2022. "Dispelling misconceptions about economics," Journal of Economic Psychology, Elsevier, vol. 88(C).

    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:socmed:v:333:y:2023:i:c:s0277953623004963. 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/wps/find/journaldescription.cws_home/315/description#description .

    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.