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RANDTREAT: Stata module to randomly assign treatments uneven treatments and deal with misfits

Author

Listed:
  • Alvaro Carril

    (University of Chile)

Programming Language

Stata

Abstract

The randtreat command performs random treatment assignment. It can handle an arbitrary number of treatments and uneven treatment fractions, which are common in real-world randomized control trials. Stratified randomization can be achieved by optionally specifying a variable list that defines multiple strata. It also provides several methods to deal with 'misfits', a practical issue that arises in treatment assignment whenever observations can't be neatly distributed among treatments. The command performs all tasks in a way that marks misfit observations and provides several methods to deal with those misfits.

Suggested Citation

  • Alvaro Carril, 2015. "RANDTREAT: Stata module to randomly assign treatments uneven treatments and deal with misfits," Statistical Software Components S458106, Boston College Department of Economics, revised 13 Apr 2017.
  • Handle: RePEc:boc:bocode:s458106
    Note: This module should be installed from within Stata by typing "ssc install randtreat". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/randtreat.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/r/randtreat.sthlp
    File Function: help file
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Weekly links March 25: nudges, helpful Stata commands, saving more and earning more, and more…
      by David McKenzie in Development Impact on 2016-03-25 17:25:00

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    Cited by:

    1. Antinyan, Armenak & Asatryan, Zareh & Dai, Zhixin & Wang, Kezhi, 2021. "Does the frequency of reminders matter for their effectiveness? A randomized controlled trial," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 752-764.
    2. Mitze, Timo & Breidenbach, Philipp, 2018. "Economic integration and growth at the margin: A space-time incremental impact analysis," Ruhr Economic Papers 775, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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