A Theory of Experimenters: Robustness, Randomization, and Balance

Principal Investigator(s):  View help for Principal Investigator(s) Abhijit Banerjee, MIT; Sylvain Chassang, NYU; Sergio Montero, University of Rochester; Erik Snowberg, UBC

Version:  View help for Version V2

Version Title:  View help for Version Title Updated after code review

Name File Type Size Last Modified
N100.eps application/postscript 18.6 KB 12/15/2019 05:24:PM
README.txt text/plain 446 bytes 12/15/2019 05:24:PM
bayesLoss.eps application/postscript 35.7 KB 12/15/2019 05:24:PM
errorBalance.eps application/postscript 23.9 KB 12/15/2019 05:24:PM
exp_loss.m text/x-objcsrc 1.2 KB 12/15/2019 05:24:PM
fig1.csv text/csv 7 KB 12/15/2019 05:24:PM
fig2.csv text/csv 2.2 KB 12/15/2019 05:24:PM
fig3.csv text/csv 2.6 KB 12/15/2019 05:24:PM
simulations.m text/x-objcsrc 6.5 KB 12/15/2019 05:24:PM
theoryOfExperimentersDrawFigures.do text/x-stata-syntax 5.4 KB 12/15/2019 05:24:PM

Project Citation: 

Banerjee, Abhijit, Chassang, Sylvain, Montero, Sergio, and Snowberg, Erik. A Theory of Experimenters: Robustness, Randomization, and Balance. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-15. https://doi.org/10.3886/E115410V2

Project Description

Summary:  View help for Summary Readme for simulation/replication code for "A Theory of Experimenters:
Robustness, Randomization, and Balance" by Banerjee, Chassang, Montero
and Snowberg in the American Economic Review

Use Matlab R2019b or later to run simulations.m to produce fig1.csv,
fig2.csv, and fig3.csv.

Use Stata version 15 to run theoryOfExperimentersDrawFigures.do, which
will produce three figures: bayesLoss.eps, N100.eps, and
errorBalance.eps.

Funding Sources:  View help for Funding Sources NSF (SES-1156154)

Scope of Project

Subject Terms:  View help for Subject Terms experiment design; balance; rerandomization
JEL Classification:  View help for JEL Classification
      C90 Design of Experiments: General
      D78 Positive Analysis of Policy Formulation and Implementation
      D81 Criteria for Decision-Making under Risk and Uncertainty


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Published Versions

V2 [2019-12-15]

V1 [2019-11-08]

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