Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs

DOI10.1016/j.jeconom.2007.05.006zbMath1418.62416OpenAlexW2058164503WikidataQ126261727 ScholiaQ126261727MaRDI QIDQ291084

Erich Battistin, Enrico Rettore

Publication date: 6 June 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2007.05.006

zbMATH Keywords

specification teststreatment effectsprogramme evaluationsecond comparison group

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Related Items (9)

Regression discontinuity designs: a guide to practice ⋮ ``Waiting for life to arrive: a history of the regression-discontinuity design in psychology, statistics and economics ⋮ Heterogeneous treatment effects: instrumental variables without monotonicity? ⋮ Identification of Treatment Effects on the Treated with One-Sided Non-Compliance ⋮ Treatment Evaluation With Selective Participation and Ineligibles ⋮ Regression discontinuity with errors in the running variable: effect on truthful margin ⋮ Complex discontinuity designs using covariates: impact of school grade retention on later life outcomes in Chile ⋮ Quantile treatment effects in the regression discontinuity design ⋮ Evaluating the causal effect of university grants on student dropout: evidence from a regression discontinuity design using principal stratification

Cites Work

• Identification of Causal Effects Using Instrumental Variables
• From Association to Causation in Observational Studies: The Role of Tests of Strongly Ignorable Treatment Assignment
• Identification and Estimation of Local Average Treatment Effects
• Characterizing Selection Bias Using Experimental Data
• Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants
• The Logic of Inductive Inference
• Testing for Programme Effects in a Regression Discontinuity Design with Imperfect Compliance
• A New Approach to Estimating Switching Regressions

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