IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v107y2015icp178-182.html
   My bibliography  Save this article

Balancing scores for simultaneous comparisons of multiple treatments

Author

Listed:
  • Yatracos, Yannis G.

Abstract

Criteria based on the T-treatment’s posterior density, qT(t|x), provide conclusively a balancing-sufficient score, s, and the coarsest, c, for the treatments indexing the X-covariates’ unknown density. Strong ignorability of treatment assignment given s, allows using s and c for simultaneous comparisons of multiple treatments.

Suggested Citation

  • Yatracos, Yannis G., 2015. "Balancing scores for simultaneous comparisons of multiple treatments," Statistics & Probability Letters, Elsevier, vol. 107(C), pages 178-182.
    • Handle: RePEc:eee:stapro:v:107:y:2015:i:c:p:178-182
    DOI: 10.1016/j.spl.2015.08.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167715215003090
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.spl.2015.08.018?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. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    2. Noorbaloochi Siamak & Nelson David & Asgharian Masoud, 2010. "Balancing and Elimination of Nuisance Variables," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-22, February.
    3. Joyce Paul & Marjoram Paul, 2008. "Approximately Sufficient Statistics and Bayesian Computation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-18, August.
    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. Nelson, David & Noorbaloochi, Siamak, 2013. "Information preserving sufficient summaries for dimension reduction," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 347-358.
    2. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    3. Pablo Ibarraran & Miguel Sarzosa & Yuri Suarez Dillon Soares, 2008. "The Welfare Impacts of Local Investment Projects: Evidence from the Guatemala FIS," OVE Working Papers 0208, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    4. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    5. Birthal, Pratap S. & Roy, Devesh & Negi, Digvijay S., 2015. "Assessing the Impact of Crop Diversification on Farm Poverty in India," World Development, Elsevier, vol. 72(C), pages 70-92.
    6. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
    7. Tugba Akkaya Hocagil & Richard J. Cook & Sandra W. Jacobson & Joseph L. Jacobson & Louise M. Ryan, 2021. "Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1390-1413, October.
    8. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
    9. Zetterqvist, Johan & Waernbaum, Ingeborg, 2020. "Semi-parametric estimation of multi-valued treatment effects for the treated:estimating equations and sandwich estimators," Working Paper Series 2020:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    11. Becker, Sascha O. & Egger, Peter H. & von Ehrlich, Maximilian, 2012. "Too much of a good thing? On the growth effects of the EU's regional policy," European Economic Review, Elsevier, vol. 56(4), pages 648-668.
    12. Marco Percoco, 2010. "Airport Activity and Local Development: Evidence from Italy," Urban Studies, Urban Studies Journal Limited, vol. 47(11), pages 2427-2443, October.
    13. D.T. Frazier & G.M. Martin & C.P. Robert & J. Rousseau, 2016. "Asymptotic Properties of Approximate Bayesian Computation," Monash Econometrics and Business Statistics Working Papers 18/16, Monash University, Department of Econometrics and Business Statistics.
    14. Garth Davies & Jeffrey Fagan, 2012. "Crime and Enforcement in Immigrant Neighborhoods," The ANNALS of the American Academy of Political and Social Science, , vol. 641(1), pages 99-124, May.
    15. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    16. César Salazar Espinoza, 2015. "Share Contract Choices and Economic Performance: Empirical Evidence from the Artisanal Fisheries Sector in Chile," Marine Resource Economics, University of Chicago Press, vol. 30(1), pages 71-95.
    17. Lochmann, Alexia & Rapoport, Hillel & Speciale, Biagio, 2019. "The effect of language training on immigrants’ economic integration: Empirical evidence from France," European Economic Review, Elsevier, vol. 113(C), pages 265-296.
    18. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2020. "Latent Causal Socioeconomic Health Index," Papers 2009.12217, arXiv.org, revised Oct 2023.
    19. Malcolm Keswell & Michael R. Carter, 2011. "Poverty and Land Distribution: Evidence from a Natural Experiment," WIDER Working Paper Series wp-2011-046, World Institute for Development Economic Research (UNU-WIDER).
    20. Yannis Yatracos, 2013. "Equal percent bias reduction and variance proportionate modifying properties with mean–covariance preserving matching," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(1), pages 69-87, February.

    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:stapro:v:107:y:2015:i:c:p:178-182. 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/622892/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.