IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v112y2013i1p122-132.html
   My bibliography  Save this article

The international performance of healthcare systems in population health: Capabilities of pooled cross-sectional time series methods

Author

Listed:
  • Reibling, Nadine

Abstract

This paper outlines the capabilities of pooled cross-sectional time series methodology for the international comparison of health system performance in population health. It shows how common model specifications can be improved so that they not only better address the specific nature of time series data on population health but are also more closely aligned with our theoretical expectations of the effect of healthcare systems. Three methodological innovations for this field of applied research are discussed: (1) how dynamic models help us understand the timing of effects, (2) how parameter heterogeneity can be used to compare performance across countries, and (3) how multiple imputation can be used to deal with incomplete data. We illustrate these methodological strategies with an analysis of infant mortality rates in 21 OECD countries between 1960 and 2008 using OECD Health Data.

Suggested Citation

  • Reibling, Nadine, 2013. "The international performance of healthcare systems in population health: Capabilities of pooled cross-sectional time series methods," Health Policy, Elsevier, vol. 112(1), pages 122-132.
    • Handle: RePEc:eee:hepoli:v:112:y:2013:i:1:p:122-132
    DOI: 10.1016/j.healthpol.2013.05.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851013001632
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.healthpol.2013.05.023?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. John Nixon & Philippe Ulmann, 2006. "The relationship between health care expenditure and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(1), pages 7-18, March.
    2. Gerdtham, Ulf-G. & Jonsson, Bengt, 2000. "International comparisons of health expenditure: Theory, data and econometric analysis," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 1, pages 11-53, Elsevier.
    3. Fabrizio Iacone & Steve Martin & Luigi Siciliani & Peter C. Smith, 2012. "Modelling the dynamics of a public health care system: evidence from time-series data," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2955-2968, August.
    4. Trapani, Lorenzo & Urga, Giovanni, 2009. "Optimal forecasting with heterogeneous panels: A Monte Carlo study," International Journal of Forecasting, Elsevier, vol. 25(3), pages 567-586, July.
    5. Herbert Brücker & Boriss Siliverstovs, 2006. "On the estimation and forecasting of international migration: how relevant is heterogeneity across countries?," Empirical Economics, Springer, vol. 31(3), pages 735-754, September.
    6. P.C. Smith, 2002. "Measuring health system performance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 3(3), pages 145-148, September.
    7. Badi Baltagi & Francesco Moscone & Elisa Tosetti, 2012. "Medical technology and the production of health care," Empirical Economics, Springer, vol. 42(2), pages 395-411, April.
    8. John Nixon, 2000. "Convergence of health care spending and health outcomes in the EUropean Union, 1960-95," Working Papers 183chedp, Centre for Health Economics, University of York.
    9. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2002. "Comparison of forecast performance for homogeneous, heterogeneous and shrinkage estimators: Some empirical evidence from US electricity and natural-gas consumption," Economics Letters, Elsevier, vol. 76(3), pages 375-382, August.
    10. Martin, Stephen & Rice, Nigel & Smith, Peter C., 2008. "Does health care spending improve health outcomes? Evidence from English programme budgeting data," Journal of Health Economics, Elsevier, vol. 27(4), pages 826-842, July.
    11. Keele, Luke & Kelly, Nathan J., 2006. "Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables," Political Analysis, Cambridge University Press, vol. 14(2), pages 186-205, April.
    12. Nord, Erik, 2002. "Measures of goal attainment and performance in the World Health Report 2000: A brief, critical consumer guide," Health Policy, Elsevier, vol. 59(3), pages 183-191, March.
    13. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    14. Honaker, James & King, Gary & Blackwell, Matthew, 2011. "Amelia II: A Program for Missing Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i07).
    15. Suzanna De Boef & Luke Keele, 2008. "Taking Time Seriously," American Journal of Political Science, John Wiley & Sons, vol. 52(1), pages 184-200, January.
    16. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    17. Nolte, Ellen & McKee, Martin, 2011. "Variations in amenable mortality—Trends in 16 high-income nations," Health Policy, Elsevier, vol. 103(1), pages 47-52.
    18. Peter Zweifel & Lukas Steinmann & Patrick Eugster, 2005. "The Sisyphus Syndrome in Health Revisited," International Journal of Health Economics and Management, Springer, vol. 5(2), pages 127-145, June.
    19. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    20. Kim, Kwangkee & Moody, Philip M., 1992. "More resources better health? A cross-national perspective," Social Science & Medicine, Elsevier, vol. 34(8), pages 837-842, April.
    21. Gauld, Robin & Al-wahaibi, Suhaila & Chisholm, Johanna & Crabbe, Rebecca & Kwon, Boomi & Oh, Timothy & Palepu, Raja & Rawcliffe, Nic & Sohn, Stephen, 2011. "Scorecards for health system performance assessment: The New Zealand example," Health Policy, Elsevier, vol. 103(2), pages 200-208.
    22. Retzlaff-Roberts, Donna & Chang, Cyril F. & Rubin, Rose M., 2004. "Technical efficiency in the use of health care resources: a comparison of OECD countries," Health Policy, Elsevier, vol. 69(1), pages 55-72, July.
    23. Robertson, D & Symons, J, 1992. "Some Strange Properties of Panel Data Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 175-189, April-Jun.
    24. Or, Zeynep & Wang, Jia & Jamison, Dean, 2005. "International differences in the impact of doctors on health: a multilevel analysis of OECD countries," Journal of Health Economics, Elsevier, vol. 24(3), pages 531-560, May.
    25. Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
    26. Asiskovitch, Sharon, 2010. "Gender and health outcomes: The impact of healthcare systems and their financing on life expectancies of women and men," Social Science & Medicine, Elsevier, vol. 70(6), pages 886-895, March.
    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. Santeramo, Fabio Gaetano & Tappi, Marco & Lamonaca, Emilia, 2021. "On the management of COVID-19 pandemic in Italy," Health Policy, Elsevier, vol. 125(8), pages 995-1001.
    2. Jimmy Martin-Delgado & Aurora Mula & Rafael Manzanera & Jose Joaquin Mira, 2022. "Measuring the Impact of Future Outbreaks? A Secondary Analysis of Routinely Available Data in Spain," IJERPH, MDPI, vol. 19(21), pages 1-14, October.
    3. F. Peters & J. P. Mackenbach & W. J. Nusselder, 2016. "Does the Impact of the Tobacco Epidemic Explain Structural Changes in the Decline of Mortality?," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 687-702, December.

    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. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    2. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    3. Akinwande A. Atanda & Andrea K. Menclova & W. Robert Reed, 2016. "Is Health Care Infected by Baumol’s Cost Disease? Test of a New Model Using an OECD Dataset," Working Papers in Economics 16/04, University of Canterbury, Department of Economics and Finance.
    4. Akinwande Atanda & Andrea Kutinova Menclova & W. Robert Reed, 2018. "Is health care infected by Baumol's cost disease? Test of a new model," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 832-849, May.
    5. Herbert Brücker & Boriss Siliverstovs, 2006. "On the estimation and forecasting of international migration: how relevant is heterogeneity across countries?," Empirical Economics, Springer, vol. 31(3), pages 735-754, September.
    6. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2012. "Forecasting with spatial panel data," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3381-3397.
    7. Erika Laranjeira & Helena Szrek, 2016. "Going beyond life expectancy in assessments of health systems’ performance: life expectancy adjusted by perceived health status," International Journal of Health Economics and Management, Springer, vol. 16(2), pages 133-161, June.
    8. Andreas Steiner, 2011. "Do dynamics and heterogeneity in panel data models matter?," Empirical Economics, Springer, vol. 40(1), pages 165-176, February.
    9. Salisu, Afees A. & Vo, Xuan Vinh, 2020. "Predicting stock returns in the presence of COVID-19 pandemic: The role of health news," International Review of Financial Analysis, Elsevier, vol. 71(C).
    10. Trapani, Lorenzo & Urga, Giovanni, 2009. "Optimal forecasting with heterogeneous panels: A Monte Carlo study," International Journal of Forecasting, Elsevier, vol. 25(3), pages 567-586, July.
    11. Bettina Becker & Stephen Hall, 2013. "Do R&D strategies in high-tech sectors differ from those in low-tech sectors? An alternative approach to testing the pooling assumption," Economic Change and Restructuring, Springer, vol. 46(2), pages 183-202, May.
    12. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    13. Dierk Herzer & Philipp Hühne & Peter Nunnenkamp, 2014. "FDI and Income Inequality—Evidence from Latin American Economies," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 778-793, November.
    14. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.
    15. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    16. Brücker, Herbert & Siliverstovs, Boriss, 2006. "Estimating and forecasting European migration : methods, problems and results," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 39(1), pages 35-56.
    17. Konstantin Arkadievich Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2008. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 195-207.
    18. Salisu, Afees A. & Vo, Xuan Vinh, 2021. "Firm-specific news and the predictability of Consumer stocks in Vietnam," Finance Research Letters, Elsevier, vol. 41(C).
    19. Mohanty, Ranjan Kumar & Behera, Deepak Kumar, 2020. "How Effective is Public Health Care Expenditure in Improving Health Outcome? An Empirical Evidence from the Indian States," Working Papers 20/300, National Institute of Public Finance and Policy.
    20. Massimiliano Mazzanti & Antonio Musolesi, 2013. "The heterogeneity of carbon Kuznets curves for advanced countries: comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3827-3842, September.

    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:hepoli:v:112:y:2013:i:1:p:122-132. 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 or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.