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Spatial structures of health outcomes and health behaviours in Scotland: Evidence from the Scottish Health Survey

Author

Listed:
  • Arnab Bhattacharjee

    (Heriot-Watt University)

  • Taps Maiti

    (Michigan State University)

  • Dennis Petrie

    (University of Melbourne)

Abstract

Socioeconomic characteristics, health behaviours, and the utilisation and quality of healthcare are prime examples of socioeconomic, cultural and demographic phenomena that are inherently spatial in nature. Understanding the spatial structure of these factors is particularly relevant in order to efficiently allocate resources. This paper explores the general equilibrium spatial structure of health outcomes and health behaviours across Scottish health boards using a variant of the spatial Durbin model which allows for an a priori unknown spatial weights matrix. The results suggest that there is substantial spatial dynamics in behaviours across Health Boards and that these spillovers are, as expected, asymmetric. We then demonstrate how the model can be used to estimate the behavioural and health impact of a targeted education policy within each health board taking into account both the direct effect on the particular health board itself and the indirect effect in terms of spillovers. The results illustrate how the dynamic effects play a large role in designing place based policies that maximise the overall effectiveness of health interventions. Taking into account the spatial dynamics allows policy makers to better target resources and interventions on particular clusters where the direct and indirect spillover benefits are likely to be the greatest in terms of improving health.

Suggested Citation

  • Arnab Bhattacharjee & Taps Maiti & Dennis Petrie, 2014. "Spatial structures of health outcomes and health behaviours in Scotland: Evidence from the Scottish Health Survey," SEEC Discussion Papers 1401, Spatial Economics and Econometrics Centre, Heriot Watt University.
    • Handle: RePEc:hwe:seecdp:1401
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    File URL: http://seec.hw.ac.uk/images/discussionpapers/SEEC_DiscussionPaper_No3.pdf
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    References listed on IDEAS

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    1. Arnab Bhattacharjee & Sean Holly, 2011. "Structural interactions in spatial panels," Empirical Economics, Springer, vol. 40(1), pages 69-94, February.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    4. Brown, Denise & Leyland, Alastair H., 2010. "Scottish mortality rates 2000-2002 by deprivation and small area population mobility," Social Science & Medicine, Elsevier, vol. 71(11), pages 1951-1957, December.
    5. Daniel P. McMillen, 2010. "Issues In Spatial Data Analysis," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 119-141.
    6. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    7. Daniel P. McMillen & Christian L. Redfearn, 2010. "Estimation And Hypothesis Testing For Nonparametric Hedonic House Price Functions," Journal of Regional Science, Wiley Blackwell, vol. 50(3), pages 712-733.
    8. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    9. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    10. Shelton, Nicola Jane, 2009. "Regional risk factors for health inequalities in Scotland and England and the "Scottish effect"," Social Science & Medicine, Elsevier, vol. 69(5), pages 761-767, September.
    11. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    12. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2013. "Estimation of the spatial weights matrix under structural constraints," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 617-634.
    13. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91.
    14. Arnab Bhattacharjee & Eduardo Castro & João Marques, 2012. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 133-167, March.
    15. Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2008. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Empirical Economics, Springer, vol. 34(1), pages 81-103, February.
    16. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," Review of Economic Studies, Oxford University Press, vol. 76(4), pages 1239-1267.
    17. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
    18. Sridharan, Sanjeev & Tunstall, Helena & Lawder, Richard & Mitchell, Richard, 2007. "An exploratory spatial data analysis approach to understanding the relationship between deprivation and mortality in Scotland," Social Science & Medicine, Elsevier, vol. 65(9), pages 1942-1952, November.
    19. Atkinson, Tony, et al, 2002. "Microsimulation of Social Policy in the European Union: Case Study of a European Minimum Pension," Economica, London School of Economics and Political Science, vol. 69(274), pages 229-243, May.
    20. Bech, Mickael & Lauridsen, Jørgen, 2008. "Exploring the spatial pattern in hospital admissions," Health Policy, Elsevier, vol. 87(1), pages 50-62, July.
    21. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
    22. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    23. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    24. J. Barkley Rosser, 2009. "Introduction," Chapters,in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
    25. Hugh Gravelle & Matthew Sutton & Stephen Morris & Frank Windmeijer & Alastair Leyland & Chris Dibben & Mike Muirhead, 2003. "Modelling supply and demand influences on the use of health care: implications for deriving a needs-based capitation formula," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 985-1004.
    26. Callan, Tim & Sutherland, Holly, 1997. "The impact of comparable policies in European countries: Microsimulation approaches," European Economic Review, Elsevier, vol. 41(3-5), pages 627-633, April.
    27. Arbia, Giuseppe & Espa, Giuseppe & Giuliani, Diego & Mazzitelli, Andrea, 2010. "Detecting the existence of space-time clustering of firms," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 311-323, September.
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    Cited by:

    1. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 305-320.
    2. repec:eee:socmed:v:204:y:2018:i:c:p:67-83 is not listed on IDEAS

    More about this item

    Keywords

    spatial econometrics; spatial weights matrix; spatial Durbin model; health outcomes; health behaviours; health care utilisation;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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