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Efficiency, Bias, and Classification Schemes

A Response to Alan B. Krueger and Pei Zhu

Bibliographic Data

ID3759130
AuthorsPaul E Peterson (0000-0001-8073-5186), William G Howell (0000-0003-1733-2127, Harvard University)
Year2004
Volume47
Issue5
Pages699-717
Publication date2004-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Behavioral Scientist (JOURNAL)
Journal identifiersISSN: 0002-7642 • E-ISSN: 1552-3381
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0002764203260158
OpenAlexW2039577489
LanguageEN
Citations received13
References cited11

When estimating voucher impacts on test scores in the New York City randomized field trial (RFT) for African Americans (defined either by mother's ethnicity, parental caretaker, mother and father's ethnicity, or mother or father's ethnicity), results remain significantly positive, even when models include students for whom no baseline test scores are available. These results obtain as long as one estimates impacts precisely by controlling for baseline test scores for those students who have them. Positive impacts fall below conventional levels of significance only when analysts needlessly drop baseline test score information or add numerous covariates that neither singly nor together enhance the precision of the estimates. When results differ for those with and without baseline scores, analysts should give greater weight to those for whom one has stronger evidence that the RFT has not been contaminated. Due to space limitations imposed by the editors, this article replies to the original Krueger and Zhu (KZ) article but not to their rejoinder. Our reply to the rejoinder may be found at www.ksg.harvard.edu/pepg/. There, we discuss the trivial nature of the differences between findings reported below and those in KZ's replication, our offer to check the replication effort to see how differences could have arisen, the Office of Management and Budget (OMB) definition of "Black (non-Hispanic)," and other issues raised in their rejoinder

Baseline (sea) · Covariate · Econometrics · Economics · Ethnic group · Political science · Replication (statistics) · Sociology · Statistics · Test (biology) · Voucher · Advanced Causal Inference Techniques · Demography · Law · Mathematics · Psychology · School Choice and Performance · Social Psychology · Statistical Methods and Bayesian Inference

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    Open Access•Robert Bifulco, Helen F Ladd•Journal of Policy Analysis and…•2006

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    Christopher Lubienski, T Jameson Brewer•Peabody Journal of Education•2016

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    Open Access•Sarah Theule Lubienski, Christopher Lubienski•American Educational Research…•2006

  • School Choice as a Latent Variable

    Open Access•Joshua M Cowen•Policy Studies Journal•2008

  • Private Schools and the Parents that Choose Them

    Open Access•Simon Calmar Andersen•Scandinavian Political Studies•2008

  • Inefficiency, Subsample Selection Bias, and Nonrobustness

    Open Access•Alan B Krueger, Pei Zhu•American Behavioral Scientist•2004

  • Uses of Theory in Randomized Field Trials

    Open Access•William G Howell, Paul E Peterson•American Behavioral Scientist•2004

  • The Economics of School Choice

    Caroline M Hoxby, Caroline Hoxby•Economics of School Choice•2003

  • The Statistical Analysis of Quasi-Experiments

    Christopher H Achen•Statistical Analysis of…•1986

  • An American Dilemma

    Open Access•Gunnar Myrdal•New Tribalisms•1962

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    Open Access•William G Howell, Patrick J Wolf et al.•Journal of Policy Analysis and…•2002

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    Gene V Gla, Gene V Glass et al.•Contemporary Sociology A Journal…•2003

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    K A Bollen, Christopher H Achen•Contemporary Sociology A Journal…•1988

  • Another Look at the New York City School Voucher Experiment

    Open Access•Alan B Krueger, Pei Zhu•American Behavioral Scientist•2004

  • Uses of Theory in Randomized Field Trials

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Unique citing works13
Citations per year0,59
Citation span2004 - 2016 (13)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 12
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