Advanced Search
MyIDEAS: Login

Replicating Experimental Impact Estimates with Nonexperimental Methods in the Context of Control Crossover

Contents:

Author Info

  • Brian Gill
  • Joshua Furgeson
  • Hanley S. Chiang
  • Bing-Ru Teh
  • Joshua Haimson
  • Natalya Verbitsky-Savitz
Registered author(s):

    Abstract

    Ideally, nonexperimental methods that aim to replicate the results of rigorous randomized experiments focus on the intent to treat (ITT) experimental impact estimate, the most causally rigorous measure. This working paper develops a new replication approach that facilitates testing nonexperimental methods against rigorous experimental ITT impact estimates when the experiment includes substantial control crossover.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://mathematica-mpr.com/publications/pdfs/education/crossover_replication_wp.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by Mathematica Policy Research in its series Mathematica Policy Research Reports with number 7927.

    as in new window
    Length: 24
    Date of creation: 30 Oct 2013
    Date of revision:
    Handle: RePEc:mpr:mprres:7927

    Contact details of provider:
    Postal: Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications
    Fax: (609) 799-0005
    Web page: http://www.mathematica-mpr.com/
    More information through EDIRC

    Related research

    Keywords: Replicating Experimental Impact Estimates; Education; Nonexperimental Methods ; Control Crossover;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
    2. Joshua D. Angrist & Parag A. Pathak & Christopher R. Walters, 2013. "Explaining Charter School Effectiveness," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 1-27, October.
    3. David McKenzie & John Gibson & Steven Stillman, 2010. "How Important Is Selection? Experimental vs. Non-Experimental Measures of the Income Gains from Migration," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 913-945, 06.
    4. Will Dobbie & Roland G. Fryer, Jr, 2011. "Getting Beneath the Veil of Effective Schools: Evidence from New York City," NBER Working Papers 17632, National Bureau of Economic Research, Inc.
    5. McKenzie, David & Gibson, John & Stillman, Steven, 2006. "How important is selection ? Experimental versus non-experimental measures of the income gains from migration," Policy Research Working Paper Series 3906, The World Bank.
    6. Steven Glazerman & Dan M. Levy & David Myers, 2003. "Nonexperimental Versus Experimental Estimates of Earnings Impacts," Mathematica Policy Research Reports 3694, Mathematica Policy Research.
    7. Kenneth Fortson & Natalya Verbitsky-Savitz & Emma Kopa & Philip Gleason, 2012. "Using an Experimental Evaluation of Charter Schools to Test Whether Nonexperimental Comparison Group Methods Can Replicate Experimental Impact Estimates," Mathematica Policy Research Reports 7443, Mathematica Policy Research.
    8. Caroline M. Hoxby & Sonali Murarka, 2009. "Charter Schools in New York City: Who Enrolls and How They Affect Their Students' Achievement," NBER Working Papers 14852, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:mpr:mprres:7927. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joanne Pfleiderer) or (Joanne Lustig).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.