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MSEFFECT: Stata module to estimate the mean effect size of (binary/multiple group) treatment on multiple outcomes

Author

Listed:
  • Zizhong Yan

    () (Department of Economics, University of Warwick)

Abstract

This command is a part of the online appendix for Lavy et al. (NBER, 2016) "Empowering Mothers and Enhancing Early Childhood Investment: Effect on Adults Outcomes and Children Cognitive and Non-Cognitive Skills". It is designed to calculate the mean effect size on multiple outcome variables (summary index) with the advantage that we account for different weights, reversibility of outcome sign, multiple treatment groups and different types of robust standard errors. The command can estimate the effect by taking account covariance of treatment effects using a seemingly uncorrelated regression; or direct estimate the effect using a linear regression with missing data imputation (at group means).

Suggested Citation

  • Zizhong Yan, 2017. "MSEFFECT: Stata module to estimate the mean effect size of (binary/multiple group) treatment on multiple outcomes," Statistical Software Components S458290, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s458290
    Note: This module should be installed from within Stata by typing "ssc install mseffect". 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/m/mseffect.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/m/mseffect.sthlp
    File Function: help file
    Download Restriction: no

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    Cited by:

    1. Mozaffari, Samaneh & Nateghi, Mohammad Reza & Zarandi, Mahmood Borhani, 2017. "An overview of the Challenges in the commercialization of dye sensitized solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 675-686.

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