Evidence of randomisation bias in a large-scale social experiment: The case of ERA
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DOI: 10.1016/j.jeconom.2017.01.003
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Citations
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Cited by:
- Tarek Azzam & Michael Bates & David Fairris, 2019.
"Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials,"
Working Papers
202002, University of California at Riverside, Department of Economics.
- Tarek Azzam & Michael Bates & David Fairris, 2020. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202022, University of California at Riverside, Department of Economics, revised Jul 2020.
- Azzam, Tarek & Bates, Michael D. & Fairris, David, 2022. "Do learning communities increase first year college retention? Evidence from a randomized control trial," Economics of Education Review, Elsevier, vol. 89(C).
- Jeffrey A. Smith, 2018. "The usefulness of experiments," IZA World of Labor, Institute of Labor Economics (IZA), pages 436-436, May.
- Potash, Eric, 2018. "Randomization bias in field trials to evaluate targeting methods," Economics Letters, Elsevier, vol. 167(C), pages 131-135.
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More about this item
Keywords
Social experiments; Randomisation bias; Sample selection; Treatment effects; Matching methods; Reweighting estimators; Partial identification; External validity;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
- J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
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