IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v36y2013i1p172-176.html
   My bibliography  Save this article

The case for spatial analysis in evaluation to reduce health inequities

Author

Listed:
  • Koschinsky, Julia

Abstract

The article begins by giving an overview of spatial thinking concepts that are relevant to evaluation. The article relates the spatial perspective to both a realist evaluation and a randomized control trial perspective in evaluation to demonstrate the benefits of a spatialized program and evaluation perspective. The article mainly suggests that the adoption of a spatial perspective can add new insights to the theory and practice of evaluation in ways that helps evaluation move closer to reducing health inequities.

Suggested Citation

  • Koschinsky, Julia, 2013. "The case for spatial analysis in evaluation to reduce health inequities," Evaluation and Program Planning, Elsevier, vol. 36(1), pages 172-176.
    • Handle: RePEc:eee:epplan:v:36:y:2013:i:1:p:172-176
    DOI: 10.1016/j.evalprogplan.2012.03.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718912000237
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.evalprogplan.2012.03.004?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. Neil Wrigley, 2002. "'Food Deserts' in British Cities: Policy Context and Research Priorities," Urban Studies, Urban Studies Journal Limited, vol. 39(11), pages 2029-2040, October.
    2. 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.
    3. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    4. Bernard, Paul & Charafeddine, Rana & Frohlich, Katherine L. & Daniel, Mark & Kestens, Yan & Potvin, Louise, 2007. "Health inequalities and place: A theoretical conception of neighbourhood," Social Science & Medicine, Elsevier, vol. 65(9), pages 1839-1852, November.
    5. repec:asg:wpaper:1042 is not listed on IDEAS
    6. Cutts, Bethany B. & Darby, Kate J. & Boone, Christopher G. & Brewis, Alexandra, 2009. "City structure, obesity, and environmental justice: An integrated analysis of physical and social barriers to walkable streets and park access," Social Science & Medicine, Elsevier, vol. 69(9), pages 1314-1322, November.
    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. Dipanwita De & Chandan Surabhi Das, 2021. "Measuring Livelihood Sustainability by PCA in Indian Sundarban," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18424-18442, December.
    2. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.

    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. N'dri, Lasme Mathieu & Kakinaka, Makoto, 2020. "Financial inclusion, mobile money, and individual welfare: The case of Burkina Faso," Telecommunications Policy, Elsevier, vol. 44(3).
    2. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    3. Khan, Zazy, 2015. "Activist Hedge Funds: Evidence from the Recent Financial Crisis," MPRA Paper 72025, University Library of Munich, Germany, revised 27 May 2016.
    4. Arcidiacono, Peter & Hotz, V. Joseph & Kang, Songman, 2012. "Modeling college major choices using elicited measures of expectations and counterfactuals," Journal of Econometrics, Elsevier, vol. 166(1), pages 3-16.
    5. Rainer Eppel & Helmut Mahringer, 2013. "Do Wage Subsidies Work in Boosting Economic Inclusion? Evidence on Effect Heterogeneity in Austria," WIFO Working Papers 456, WIFO.
    6. Peter Howard-Jones & Jens Hölscher & Dragana Radicic, 2017. "Firm Productivity In The Western Balkans: The Impact Of European Union Membership And Access To Finance," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(215), pages 7-52, October –.
    7. Itkonen, Juha, 2011. "Causal misspecifications in econometric models," MPRA Paper 31397, University Library of Munich, Germany.
    8. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    9. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    10. Francesca Caselli & Mr. Philippe Wingender, 2018. "Bunching at 3 Percent: The Maastricht Fiscal Criterion and Government Deficits," IMF Working Papers 2018/182, International Monetary Fund.
    11. Sung Jae Jun & Sokbae Lee, 2023. "Identifying the Effect of Persuasion," Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2032-2058.
    12. Galina Besstremyannaya, 2014. "Heterogeneous effect of coinsurance rate on healthcare costs: generalized finite mixtures and matching estimators," Discussion Papers 14-014, Stanford Institute for Economic Policy Research.
    13. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, New Economic School (NES).
    14. Cattaneo, Matias D. & Jansson, Michael & Newey, Whitney K., 2018. "Alternative Asymptotics And The Partially Linear Model With Many Regressors," Econometric Theory, Cambridge University Press, vol. 34(2), pages 277-301, April.
    15. Zier, Patrick, 2013. "Econometric impact assessment of the Common Agricultural Policy in East German agriculture," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 71, number 71.
    16. Lewbel, Arthur & Yang, Thomas Tao, 2016. "Identifying the average treatment effect in ordered treatment models without unconfoundedness," Journal of Econometrics, Elsevier, vol. 195(1), pages 1-22.
    17. Liu, Y., 2018. "Determinants and impacts of marketing channel choice among cooperatives members: Evidence from agricultural cooperative in China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275898, International Association of Agricultural Economists.
    18. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    19. Dionissi Aliprantis, 2017. "Human capital in the inner city," Empirical Economics, Springer, vol. 53(3), pages 1125-1169, November.
    20. Francesca Volo & Alessandra Drigo & M. Bruna Zolin & Domenico Sartore, 2019. "European Social Fund's lifelong learning and regional development: a case study," Working Papers 2019:04, Department of Economics, University of Venice "Ca' Foscari".

    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:epplan:v:36:y:2013:i:1:p:172-176. 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/locate/evalprogplan .

    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.