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A Theory of Experimenters: Robustness, Randomization, and Balance

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

Version:  View help for Version V1

Name File Type Size Last Modified
simulations.zip application/zip 27.4 KB 11/08/2019 03:15:PM

Project Citation: 

Chassang, Sylvain, Banerjee, Abhijit, Snowberg, Erik, and Montero, Sergio. 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], 2019-11-08. https://doi.org/10.3886/E115410V1

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


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Published Versions

V2 [2019-12-15]

V1 [2019-11-08]

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