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Identification of Causal Intensive Margin Effects by Difference-in-Difference Methods


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Date

2018-11

Publication Type

Working Paper

ETH Bibliography

yes

Citations

Altmetric

Data

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 esti- mate 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.

Publication status

published

External links

Editor

Book title

Journal / series

Economics Working Paper Series

Volume

18/302

Pages / Article No.

Publisher

CER-ETH – Center of Economic Research at ETH Zurich

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Intensive margin effect; Difference-in-diference; Corner solution models; Potential outcomes; Policy evaluation

Organisational unit

03877 - Bommier, Antoine / Bommier, Antoine check_circle

Notes

Funding

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