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SREG: Stata module to provide ATE estimation and inference in stratified randomized experiments

Author

Listed:
  • Juri Trifonov

    (Northwestern University)

  • Yuehao Bai

    (University of Southern California)

  • Azeem Shaikh

    (University of Chicago)

  • Max Tabord-Meehan

    (University of Toronto)

Programming Language

Abstract

sreg provides estimation and inference for average treatment effects in stratified randomized experiments. It implements design-specific treatment-effect estimators and variance estimators for matched pairs, general k-tuple designs, large strata of potentially unequal sizes, and designs combining small and large strata. The package accommodates multiple treatments, individual- and cluster-level treatment assignment, and optional linear covariate adjustment. It reports treatment effects relative to control, standard errors, test statistics, p-values, and asymptotic confidence intervals. Companion commands generate experimental data and plot estimated treatment effects.

Suggested Citation

  • Juri Trifonov & Yuehao Bai & Azeem Shaikh & Max Tabord-Meehan, 2026. "SREG: Stata module to provide ATE estimation and inference in stratified randomized experiments," Statistical Software Components S459906, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s459906
    Note: This module should be installed from within Stata by typing "ssc install sreg". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/s/sreg.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/sreg.sthlp
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    File URL: http://fmwww.bc.edu/repec/bocode/s/sreg_aejapp.dta
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