Bounding average treatment effects: a linear programming approach

T. Demuynck

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We show how to obtain bounds on the mean treatment effects by solving a simple linear programming problem. The use of a linear programme is convenient from a practical point of view because it avoids the need to derive closed form solutions. Imposing or omitting monotonicity or concavity restrictions is done by simply adding or removing sets of linear restrictions to the linear programme.

Original languageEnglish
Pages (from-to)75-77
Number of pages3
JournalEconomics Letters
Volume137
DOIs
Publication statusPublished - Dec 2015

Keywords

  • Treatment effect
  • Linear programming
  • Partial identification
  • PARTIALLY IDENTIFIED PARAMETERS
  • CONFIDENCE-INTERVALS
  • RETURNS

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