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Autoren: 
Lafférs, Lukáés
Datum: 
2015
Reihe/Nr.: 
cemmap working paper CWP70/15
Zusammenfassung: 
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.
Schlagwörter: 
Partial identification
Bounds
Average treatment effect
Sensitivity analysis
JEL: 
C4
C6
I2
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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