Bounding average treatment effects using linear programming

Arbeitspapier

This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under identifying assumptions commonly used in the literature. This new method provides a sensitivity analysis of the identifying assumptions and missing data in an application regarding the effect of parent's schooling on children's schooling. Even a mild departure from identifying assumptions may substantially widen the bounds on average treatment effects. Allowing for a small fraction of the data to be missing also has a large impact on the results.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: cemmap working paper ; No. CWP70/15

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: Partial identification ; Bounds ; Average treatment effect ; Sensitivity analysis

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Lafférs, Lukáés
• Ereignis: Veröffentlichung
• (wer): Centre for Microdata Methods and Practice (cemmap)
• (wo): London
• (wann): 2015

Weitere Informationen

• DOI: doi:10.1920/wp.cem.2015.7015
• Handle: http://hdl.handle.net/10419/130074
• Letzte Aktualisierung: 20.09.2024, 08:25 MESZ