IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v59y2020i4d10.1007_s00181-019-01688-3.html
   My bibliography  Save this article

Modelling the dynamic effects of elective hospital admissions on emergency levels in England

Author

Listed:
  • Sergi Jimenez-Martin

    (Universitat Pompeu Fabra
    Barcelona GSE
    FEDEA)

  • Catia Nicodemo

    (CHSEO
    University of Oxford
    IZA)

  • Stuart Redding

    (CHSEO
    University of Oxford)

Abstract

In England as elsewhere, policy makers are trying to reduce the pressure on costs due to rising hospital admissions by encouraging GPs to refer fewer patients to hospital specialists. This could have an impact on elective treatment levels, particularly procedures for conditions which are not life-threatening and can be delayed or perhaps withheld entirely. This study attempts to determine whether cost savings in one area of publicly funded health care may lead to the increases in cost in another and therefore have unintended consequences by offsetting the cost-saving benefits anticipated by policy makers. Using administrative data from Hospital Episode Statistics in England, we estimate dynamic fixed effects panel data models for emergency admissions at Primary Care Trust and Hospital Trust levels for the years 2004–2013, controlling for a group of area-specific characteristics and other secondary care variables. We find a negative link between current levels of elective care and future levels of emergency treatment. This observation comes from a time of growing admissions, and there is no guarantee that the link between emergency and elective activity will persist if policy is effective in reducing levels of elective treatment, but our results suggest that the cost-saving benefits to the NHS from reducing elective treatment are reduced by between 5.6 and 15.5% in aggregate as a consequence of increased emergency activity.

Suggested Citation

  • Sergi Jimenez-Martin & Catia Nicodemo & Stuart Redding, 2020. "Modelling the dynamic effects of elective hospital admissions on emergency levels in England," Empirical Economics, Springer, vol. 59(4), pages 1933-1957, October.
  • Handle: RePEc:spr:empeco:v:59:y:2020:i:4:d:10.1007_s00181-019-01688-3
    DOI: 10.1007/s00181-019-01688-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-019-01688-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-019-01688-3?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Majid M. Al-Sadoon & Sergi Jiménez-Martín & Jose M. Labeaga, 2019. "Simple methods for consistent estimation of dynamic panel data sample selection models," Economics Working Papers 1631, Department of Economics and Business, Universitat Pompeu Fabra.
    2. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    3. Robert G. Evans, 1974. "Supplier-Induced Demand: Some Empirical Evidence and Implications," International Economic Association Series, in: Mark Perlman (ed.), The Economics of Health and Medical Care, chapter 10, pages 162-173, Palgrave Macmillan.
    4. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    5. Coast, J. & Smith, R. D. & Millar, M. R., 1998. "An economic perspective on policy to reduce antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 46(1), pages 29-38, January.
    6. Ludwig Kuntz & Roman Mennicken & Stefan Scholtes, 2015. "Stress on the Ward: Evidence of Safety Tipping Points in Hospitals," Management Science, INFORMS, vol. 61(4), pages 754-771, April.
    7. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    2. Hakkala, Katariina & Heyman, Fredrik & Sjöholm, Fredrik, 2007. "Cross-Border Acquisitions, Multinationals and Wage Elasticities," Working Paper Series 709, Research Institute of Industrial Economics.
    3. Nucci, Francesco & Pozzolo, Alberto Franco, 2010. "The exchange rate, employment and hours: What firm-level data say," Journal of International Economics, Elsevier, vol. 82(2), pages 112-123, November.
    4. Briglauer, Wolfgang & Dürr, Niklas S. & Gugler, Klaus, 2019. "A retrospective study on the regional benefits and spillover effects of high-speed broadband networks: Evidence from German counties," ZEW Discussion Papers 19-026, ZEW - Leibniz Centre for European Economic Research.
    5. Fabbri, Francesca & Marin, Dalia, 2012. "What explains the rise in CEO pay in Germany? A Panel Data Analysis for 1977-2009," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 374, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    6. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    7. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    8. Holger Zemanek & Ansgar Belke & Gunther Schnabl, 2009. "Current Account Imbalances and Structural Adjustment in the Euro Area: How to Rebalance Competitiveness," Discussion Papers of DIW Berlin 895, DIW Berlin, German Institute for Economic Research.
    9. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    10. Patrizia Ordine & Giuseppe Rose, 2008. "Local Banks Efficiency and Employment," LABOUR, CEIS, vol. 22(3), pages 469-493, September.
    11. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.
    12. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    13. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    14. Nurettin Can & Lutfu Sagbansua, 2015. "Quantitative Analysis on Innovation Index of OECD Countries," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(8), pages 210-220, August.
    15. Bai-Chen Xie & Jie Gao & Shuang Zhang & ZhongXiang Zhang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," Working Papers 2017.12, Fondazione Eni Enrico Mattei.
    16. Mahabubur Rahman & M. Ángeles Rodríguez-Serrano & Mary Lambkin, 2019. "Brand equity and firm performance: the complementary role of corporate social responsibility," Journal of Brand Management, Palgrave Macmillan, vol. 26(6), pages 691-704, November.
    17. Qu, Guangjun & Sylwester, Kevin & Wang, Feng, 2016. "Anticorruption and Growth: Evidence from China," MPRA Paper 72190, University Library of Munich, Germany.
    18. Pedro Albarran & Raquel Carrasco & Adelheid Holl, 2013. "Domestic transport infrastructure and firms’ export market participation," Small Business Economics, Springer, vol. 40(4), pages 879-898, May.
    19. Mikael Carlsson & Julián Messina & Oskar Nordström Skans, 2016. "Wage Adjustment and Productivity Shocks," Economic Journal, Royal Economic Society, vol. 126(595), pages 1739-1773, September.
    20. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.

    More about this item

    Keywords

    I10; I11; C01;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • B12 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Classical (includes Adam Smith)

    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:spr:empeco:v:59:y:2020:i:4:d:10.1007_s00181-019-01688-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.