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  1. Wanna get away?
    RD identification away from the cutoff
    Autor*in: Angrist, Joshua D.; Rokkanen, Miikka
    Erschienen: 2013
    Verlag:  IZA, Bonn

    In the canonical regression discontinuity (RD) design for applicants who face an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The effect of treatment on inframarginal applicants is also of... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4 (7429)
    Fernleihe:
    keine Fernleihe

     

    In the canonical regression discontinuity (RD) design for applicants who face an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The effect of treatment on inframarginal applicants is also of interest, but identification of such effects requires stronger assumptions than those required for identification at the cutoff. This paper discusses RD identification away from the cutoff. Our identification strategy exploits the availability of dependent variable predictors other than the running variable. Conditional on these predictors, the running variable is assumed to be ignorable. This identification strategy is illustrated with data on applicants to Boston exam schools. Functional-form-based extrapolation generates unsatisfying results in this context, either noisy or not very robust. By contrast, identification based on RD-specific conditional independence assumptions produces reasonably precise and surprisingly robust estimates of the effects of exam school attendance on inframarginal applicants. These estimates suggest that the causal effects of exam school attendance for 9th grade applicants with running variable values well away from admissions cutoffs differ little from those for applicants with values that put them on the margin of acceptance. An extension to fuzzy designs is shown to identify causal effects for compliers away from the cutoff.

     
    Export in Literaturverwaltung   RIS-Format
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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/80605
    Schriftenreihe: Discussion paper series / Forschungsinstitut zur Zukunft der Arbeit ; 7429
    Schlagworte: Weiterführende Schule; Schüler; Personalauswahl; Regressionsanalyse; Schätzung; Theorie; Boston (Mass.); conditional independence assumption; conditional effect ignorability
    Umfang: Online-Ressource (49 S.), graph. Darst.
  2. Wanna get away?
    RD identification away from the cutoff
    Autor*in: Angrist, Joshua D.; Rokkanen, Miikka
    Erschienen: 2012

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    W 1 (18662)
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    Schriftenreihe: NBER working paper series ; 18662
    Schlagworte: Weiterführende Schule; Schüler; Personalauswahl; Regressionsanalyse; Schätzung; Theorie; Boston (Mass.); conditional independence assumption; conditional effect ignorability
    Umfang: 47 S., graph. Darst.
    Bemerkung(en):

    RD = regression discontinuity

    Parallel als Online-Ausg. erschienen
  3. Exam schools, ability, and the effects of affirmative action
    latent factor extrapolation in the regression discontinuity design
    Autor*in: Rokkanen, Miikka
    Erschienen: 2015
    Verlag:  Columbia Univ., Dep. of Economics, New York, NY

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    VS 43 (1415.3)
    Fernleihe:
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    Schriftenreihe: Discussion paper series / Columbia University, Department of Economics ; 1415-03
    Schlagworte: Bildungsniveau; Allgemeinbildende Schule; Messung; Regressionsanalyse; Boston (Mass.)
    Umfang: Online-Ressource (59 S.), graph. Darst.