Identification of causal intensive margin effects by difference-in-difference methods

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Economics Working Paper Series ; No. 18/302

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions ; Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models ; Methodological Issues: General
• Thema: Intensive margin effect ; difference-in-difference ; corner solution models ; potential outcomes ; policy evaluation

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hersche, Markus ; Moor, Elias
• Ereignis: Veröffentlichung
• (wer): ETH Zurich, CER-ETH - Center of Economic Research
• (wo): Zurich
• (wann): 2018

Weitere Informationen

• DOI: doi:10.3929/ethz-b-000300865
• Handle: http://hdl.handle.net/10419/194125
• Letzte Aktualisierung: 20.09.2024, 08:22 MESZ