Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/194125
Authors: 
Hersche, Markus
Moor, Elias
Year of Publication: 
2018
Series/Report no.: 
Economics Working Paper Series 18/302
Abstract: 
This paper discusses identification of causal intensive margin effects. The causal intensive margin effect is defined as the treatment effect on the outcome of individuals with a positive outcome irrespective of whether they are treated or not (always-takers or participants). A potential selection problem arises when conditioning on positive outcomes, even if treatment is randomly assigned. We propose to use difference-in-difference methods - conditional on positive outcomes - to estimate causal intensive margin effects. We derive sufficient conditions under which the difference-in-difference methods identify the causal intensive margin effect in a setting with random treatment.
Subjects: 
Intensive margin effect
difference-in-difference
corner solution models
potential outcomes
policy evaluation
JEL: 
C21
C24
C18
Persistent Identifier of the first edition: 
Document Type: 
Working Paper
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