IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v32y2008i2p157-186.html
   My bibliography  Save this article

The Truncation-by-Death Problem

Author

Listed:
  • Sheena McConnell

    (Mathematica Policy Research, Washington, DC)

  • Elizabeth A. Stuart

    (Johns Hopkins Bloomberg School of Public Health, Baltimore, MD)

  • Barbara Devaney

    (Mathematica Policy Research, Princeton, NJ)

Abstract

Although experiments are viewed as the gold standard for evaluation, some of their benefits may be lost when, as is common, outcomes are not defined for some sample members. In evaluations of marriage interventions, for example, a key outcome—relationship quality—is undefined when a couple splits up. This article shows how treatment-control differences in mean outcomes can be misleading when outcomes are not defined for everyone and discusses ways to identify the seriousness of the problem. Potential solutions to the problem are described, including approaches that rely on simple treatment-control differences-in-means as well as more complex modeling approaches.

Suggested Citation

  • Sheena McConnell & Elizabeth A. Stuart & Barbara Devaney, 2008. "The Truncation-by-Death Problem," Evaluation Review, , vol. 32(2), pages 157-186, April.
  • Handle: RePEc:sae:evarev:v:32:y:2008:i:2:p:157-186
    DOI: 10.1177/0193841X07309115
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X07309115
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0193841X07309115?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. repec:mpr:mprres:4029 is not listed on IDEAS
    2. Sartori, Anne E., 2003. "An Estimator for Some Binary-Outcome Selection Models Without Exclusion Restrictions," Political Analysis, Cambridge University Press, vol. 11(2), pages 111-138, April.
    3. David Myers & Robert B. Olsen & Neil Seftor & Julie Young & Christina Clark Tuttle, "undated". "The Impacts of Regular Upward Bound: Results from the Third Follow-Up Data Collection," Mathematica Policy Research Reports 145dc84be33e47e494cb5569f, Mathematica Policy Research.
    4. Leeb, Hannes & Pötscher, Benedikt M., 2008. "Can One Estimate The Unconditional Distribution Of Post-Model-Selection Estimators?," Econometric Theory, Cambridge University Press, vol. 24(2), pages 338-376, April.
    5. Yolanda Kodrzycki, 1997. "Training programs for displaced workers: what do they accomplish?," New England Economic Review, Federal Reserve Bank of Boston, issue May, pages 39-57.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
    8. David S. Lee, 2005. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," NBER Working Papers 11721, National Bureau of Economic Research, Inc.
    9. Frangakis, Constantine E. & Brookmeyer, Ronald S. & Varadhan, Ravi & Safaeian, Mahboobeh & Vlahov, David & Strathdee, Steffanie A., 2004. "Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 239-249, January.
    10. Joshua Angrist & Eric Bettinger & Michael Kremer, 2006. "Long-Term Educational Consequences of Secondary School Vouchers: Evidence from Administrative Records in Colombia," American Economic Review, American Economic Association, vol. 96(3), pages 847-862, June.
    11. repec:mpr:mprres:4700 is not listed on IDEAS
    12. Peter Z. Schochet & John Burghardt & Steven Glazerman, 2001. "National Job Corps Study: The Impacts of Job Corps on Participants' Employment and Related Outcomes," Mathematica Policy Research Reports db6c4204b8e1408bb0c6289ec, Mathematica Policy Research.
    13. repec:mpr:mprres:2951 is not listed on IDEAS
    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. Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity in sample selection models," Economics Working Paper Series 1145, University of St. Gallen, School of Economics and Political Science.
    2. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.
    3. Michael Lechner & Blaise Melly, 2007. "Earnings Effects of Training Programs," University of St. Gallen Department of Economics working paper series 2007 2007-28, Department of Economics, University of St. Gallen.
    4. Michael Ziegelmeyer & Julius Nick, 2013. "Backing out of private pension provision: lessons from Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(3), pages 505-539, August.
    5. German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 659-701.
    6. Patrick Hamm & David Stuckler & Lawrence King, 2006. "Mass Privatization and the Postcommunist Mortality Crisis," Working Papers wp118, Political Economy Research Institute, University of Massachusetts at Amherst.
    7. John M. de Figueiredo & Brian Kelleher Richter, 2013. "Advancing the Empirical Research on Lobbying," NBER Working Papers 19698, National Bureau of Economic Research, Inc.
    8. Andrea Mercatanti & Fan Li, 2017. "Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 759-776, August.
    9. Peter Frase & Janet Gornick, 2009. "The Time Divide in Cross-National Perspective: The Work Week, Gender and Education in 17 Countries," LIS Working papers 526, LIS Cross-National Data Center in Luxembourg.
    10. Brown, Sarah & Hole, Arne Risa & Kilic, Dilek, 2014. "Out-of-pocket health care expenditure in Turkey: Analysis of the 2003–2008 Household Budget Surveys," Economic Modelling, Elsevier, vol. 41(C), pages 211-218.
    11. Rodríguez-Planas, Núria, 2010. "Longer-Term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial," IZA Discussion Papers 4754, Institute of Labor Economics (IZA).
    12. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    13. Thomas Barnay & Sandrine Juin, 2014. "Does care to dependent elderly people living at home increase their mental health?," TEPP Working Paper 2014-06, TEPP.
    14. Bernauer, Thomas & Spilker, Gabriele, 2010. "Escalation dynamics in WTO disputes over environment, health and safety issues," Papers 89, World Trade Institute.
    15. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    16. Matthew Hauenstein, 2020. "The conditional effect of audiences on credibility," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(3), pages 422-436, May.
    17. Carlos A. Flores & Alfonso Flores-Lagunes, 2007. "Identification and Estimation of Casual Mechanisms and Net Effects of a Treatment," Working Papers 0706, University of Miami, Department of Economics.
    18. Bia, Michela & Flores-Lagunes, Alfonso & Mercatanti, Andrea, 2018. "Evaluation of Language Training Programs in Luxembourg using Principal Stratification," GLO Discussion Paper Series 289, Global Labor Organization (GLO).
    19. Núria Rodríquez-Planas, 2010. "Longer-term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial in the United States," UFAE and IAE Working Papers 821.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    20. Hottenrott, Hanna & Lopes-Bento, Cindy, 2014. "R&D partnerships and innovation performance: Can there be too much of a good thing?," ZEW Discussion Papers 14-108, ZEW - Leibniz Centre for European Economic Research.

    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:sae:evarev:v:32:y:2008:i:2:p:157-186. 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: SAGE Publications (email available below). General contact details of provider: .

    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.