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RDDSGA: Stata module to conduct subgroup analysis for regression discontinuity designs

Author

Listed:
  • Alvaro Carril

    (J-PAL LAC)

  • Andre Cazor

    (J-PAL LAC)

  • Maria Paula Gerardino

    (Inter-American Development Bank)

  • Stephan Litschig

    (National Graduate Institute for Policy Studies)

  • Dina Pomeranz

    (University of Zurich)

Programming Language

Stata

Abstract

rddsga allows to conduct a binary subgroup analysis in RDD settings based on inverse propensity score weights (IPSW). Observations in each subgroup are weighted by the inverse of their conditional probabilities to belong to that subgroup, given a set of covariates. Analyzing the differential treatment effect in the reweighted sample helps isolating the difference due to the subgroup characteristic of interest from other observable dimensions.

Suggested Citation

  • Alvaro Carril & Andre Cazor & Maria Paula Gerardino & Stephan Litschig & Dina Pomeranz, 2017. "RDDSGA: Stata module to conduct subgroup analysis for regression discontinuity designs," Statistical Software Components S458429, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s458429
    Note: This module should be installed from within Stata by typing "ssc install rddsga". 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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/rddsga.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rddsga.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rddsga_synth.dta
    File Function: sample data file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Caro, Juan Carlos, 2020. "Parental investments, socioemotional development and nutritional health in Chile," MPRA Paper 98867, University Library of Munich, Germany.
    2. Caro, Juan Carlos, 2020. "Child development and obesity prevention: evidence from the Chilean School Meals Program," MPRA Paper 98865, University Library of Munich, Germany.

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