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References for Randomized control trials in an imperfect world
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Further reading
- Balke, A., Pearl, J. Nonparametric Bounds on Causal Effects from Partial Compliance Data Technical Report R–242, 1995.
- Chernozhukov, V., Kim, W., Lee, S., Rosen, A. Implementing Intersection Bounds in Stata Working Paper No.CWP38/13, 2013.
- Manski, C. F. "Non-parametric bounds on treatment effects" American Economic Review (Papers and Proceedings) 80 (1990): 319–323.
- Morgan, S. L., Winship, C. Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge: Cambridge University Press, 2007.
- Rubin, D. "Estimating causal effects of treatments in randomized and nonrandomized studies" Journal of Educational Psychology 66 (1974): 688–701.
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Key references
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Fisher, R. A. The Design of
Experiments. London: Oliver and Boyd, 1935. Key reference: [1]
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Manski, C. Public Policy in
an Uncertain World. Cambridge, MA: Harvard University Press, 2013. Key reference: [2]
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List, J., Rasul, I. "Field experiments
in labor economics" In: Ashenfelter, O., Card, D. (eds). Handbook of Labor
Economics. Amsterdam: Elsevier, 2011. Key reference: [3]
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Pearl, J. Causality. Cambridge: Cambridge University Press, 2009. Key reference: [4]
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Angrist, J., Imbens, G., Rubin, D. "Identification of
causal effects using instrumental variables" Journal of the
American Statistical Association 91 (1996): 444–455. Key reference: [5]
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Balke, A., Pearl, J. "Bounds on
treatment effects from studies with imperfect compliance" Journal of the
American Statistical Association 92 (1997): 1171–1177. Key reference: [6]
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Manski, C. Identification for
Prediction and Decision. Cambridge, MA: Harvard University Press, 2008. Key reference: [7]
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Siddique, Z. "Partially
identified treatment effects under imperfect compliance: The
case of domestic violence" Journal of the
American Statistical Association 108:502 (2013): 504–513. Key reference: [8]
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Tamer, E. "Partial
identification in econometrics" Annual Review of
Economics 2 (2010): 167–195. Key reference: [9]
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Kitagawa, T. Identification
Region of the Potential Outcome Distributions under Instrument
Independence CeMMAP Working
Paper No.30/09, 2009. Key reference: [10]
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Fisher, R. A. The Design of
Experiments. London: Oliver and Boyd, 1935.