IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v051c01.html
   My bibliography  Save this article

%GI: A SAS Macro for Measuring and Testing Global Imbalance of Covariates within Subgroups

Author

Listed:
  • Camillo, Furio
  • D'Attoma, Ida

Abstract

The global imbalance (GI) measure is a way for checking balance of baseline covariates that confound efforts to draw valid conclusions about treatment effects on outcomes of interest. In addition, GI is tested by means of a multivariate test. The GI measure and its test overcome some limitations of the common way for assessing the presence of imbalance in observed covariates that were discussed in D'Attoma and Camillo (2011). A user written SAS macro called %GI, to simultaneously measure and test global imbalance of baseline covariates is described. Furthermore, %GI also assesses global imbalance by subgroups obtained through several matching or classification methods (e.g., cluster analysis, propensity score subclassification, Rosenbaum and Rubin'84), no matter how many groups are examined. %GI works with mixed categorical, ordinal and continuous covariates. Continuous baseline covariates need to be split into categories. It also works in the multi-treatment case. The use of the %GI macro will be illustrated using two artificial examples.

Suggested Citation

  • Camillo, Furio & D'Attoma, Ida, 2012. "%GI: A SAS Macro for Measuring and Testing Global Imbalance of Covariates within Subgroups," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(c01).
    • Handle: RePEc:jss:jstsof:v:051:c01
    DOI: http://hdl.handle.net/10.18637/jss.v051.c01
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v051c01/v51c01.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v051c01/gi_macro.sas
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v051c01/v51c01-binary.sas
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v051c01/v51c01-multi.sas
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v051.c01?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
    ---><---

    References listed on IDEAS

    as
    1. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    2. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    3. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    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. Stefano VERZILLO & Paolo BERTA & Matteo BOSSI, 2015. "%CEM: A SAS Macro to Perform Coarsened Exact Matching," Departmental Working Papers 2015-22, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    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. Leduc, Elisabeth & Tojerow, Ilan, 2020. "Subsidizing Domestic Services as a Tool to Fight Unemployment: Effectiveness and Hidden Costs," IZA Discussion Papers 13544, Institute of Labor Economics (IZA).
    2. Patricio Aroca & Juan Gabriel Brida & Juan Sebastián Pereyra & Serena Volo, 2014. "Tourism statistics: correcting data inadequacy using coarsened exact matching," BEMPS - Bozen Economics & Management Paper Series BEMPS22, Faculty of Economics and Management at the Free University of Bozen.
    3. Lauren Lanahan & Daniel Armanios, 2018. "Does More Certification Always Benefit a Venture?," Organization Science, INFORMS, vol. 29(5), pages 931-947, October.
    4. Sara Pavone & Elena Ragazzi & Lisa Sella, 2015. "Sostenere le imprese agro-industriali in Piemonte: un?analisi controfattuale," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 129-143.
    5. Brucal, Arlan & Javorcik, Beata & Love, Inessa, 2019. "Good for the environment, good for business: Foreign acquisitions and energy intensity," Journal of International Economics, Elsevier, vol. 121(C).
    6. Davidson Heath & Giorgo Sertsios, 2022. "Profitability and Financial Leverage: Evidence from a Quasi-Natural Experiment," Management Science, INFORMS, vol. 68(11), pages 8386-8410, November.
    7. Khanna, Rajat, 2021. "Aftermath of a tragedy: A star's death and coauthors’ subsequent productivity," Research Policy, Elsevier, vol. 50(2).
    8. Capuano, Stella & Hauptmann, Andreas & Schmerer, Hans-Jörg, 2020. "Trade and unions: Does size matter?," Economic Modelling, Elsevier, vol. 84(C), pages 66-75.
    9. Datta, Nirupam, 2015. "Evaluating Impacts of Watershed Development Program on Agricultural Productivity, Income, and Livelihood in Bhalki Watershed of Bardhaman District, West Bengal," World Development, Elsevier, vol. 66(C), pages 443-456.
    10. Teruel, Mercedes & Amaral-Garcia, Sofia & Bauer, Péter & Coad, Alexander & Domnick, Clemens & Harasztosi, Péter & Pál, Rozália, 2022. "COVID-19 and the resilience of European firms: The influence of pre-crisis productivity, digitalisation and growth performance," EIB Working Papers 2022/13, European Investment Bank (EIB).
    11. Ubaldi, Michele & Picchio, Matteo, 2023. "Intergenerational scars: The impact of parental unemployment on individual health later in life," GLO Discussion Paper Series 1271, Global Labor Organization (GLO).
    12. Byun, SeongK. & Fuller, Kathleen & Lin, Zhilu, 2021. "The costs and benefits associated with inventor CEOs," Journal of Corporate Finance, Elsevier, vol. 71(C).
    13. Gustavsson Tingvall, Patrik & Videnord, Josefin, 2017. "Regional Effects of Publicly Sponsored R&D Grants on SME Performance," Ratio Working Papers 289, The Ratio Institute.
    14. Corral, Leonardo & Henderson, Heath & Miranda, Juan José, 2016. "Evidence from a Natural Experiment on the Development Impact of Windfall Gains: The Camisea Fund in Peru," IDB Publications (Working Papers) 7520, Inter-American Development Bank.
    15. Daunfeldt, Sven-Olov & Halvarsson, Daniel & Gustavsson Tingvall, Patrik & McKelvie, Alexander, 2021. "Do Targeted R&D Grants Towards Potential Highgrowth Firms Increase Employment and Demand for High Human Capital Workers?," HFI Working Papers 23, Institute of Retail Economics (Handelns Forskningsinstitut).
    16. Vikas A. Aggarwal & David H. Hsu, 2014. "Entrepreneurial Exits and Innovation," Management Science, INFORMS, vol. 60(4), pages 867-887, April.
    17. Ms. Anna Kochanova & Carlos Caceres, 2012. "Country Stress Events: Does Governance Matter?," IMF Working Papers 2012/116, International Monetary Fund.
    18. Desheng Yan & Guangming Li, 2023. "A Heterogeneity Study on the Effect of Digital Education Technology on the Sustainability of Cognitive Ability for Middle School Students," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    19. de Rassenfosse, Gaétan & Palangkaraya, Alfons & Webster, Elizabeth, 2016. "Why do patents facilitate trade in technology? Testing the disclosure and appropriation effects," Research Policy, Elsevier, vol. 45(7), pages 1326-1336.
    20. Julia Muschallik & Kerstin Pull, 2016. "Mentoring in higher education: does it enhance mentees’ research productivity?," Education Economics, Taylor & Francis Journals, vol. 24(2), pages 210-223, April.

    More about this item

    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:jss:jstsof:v:051:c01. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    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.