Bounding average treatment effects: a linear programming approach

DOI10.1016/J.ECONLET.2015.09.042zbMath1398.62179OpenAlexW2195306100MaRDI QIDQ1667941

Thomas Demuynck

Publication date: 31 August 2018

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/251994/3/021.pdf

zbMATH Keywords

linear programmingpartial identificationtreatment effect

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Linear programming (90C05)

Related Items (4)

Identifying the effects of a program offer with an application to head start ⋮ Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition ⋮ Partial identification by extending subdistributions ⋮ Sensitivity of the bounds on the ATE in the presence of sample selection

Cites Work

• Partial identification of probability distributions with misclassified data
• Subsampling
• Partial identification of probability distributions.
• More on monotone instrumental variables
• Bounds on Parameters in Panel Dynamic Discrete Choice Models
• Bounds on Treatment Effects From Studies With Imperfect Compliance
• Monotone Treatment Response
• Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space
• Monotone Instrumental Variables: With an Application to the Returns to Schooling
• Concave-monotone treatment response and monotone treatment selection: With an application to the returns to schooling
• More on Confidence Intervals for Partially Identified Parameters
• Confidence Intervals for Partially Identified Parameters

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