Marginal Treatment Effects and Monotonicity
How robust are analyses based on marginal treatment effects (MTE) to violations of Imbens and Angrist (1994) monotonicity? In this note, I present weaker forms of monotonicity under which popular MTE-based estimands still identify the parameters of interest.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Sharp Bounds for the Marginal Treatment Effect with Sample Selection
I analyze treatment effects in situations when agents endogenously select into the treatment group and into the observed sample. As a theoretical contribution, I propose pointwise sharp bounds for the marginal treatment …
On the Identifying Power of Monotonicity for Average Treatment Effects
In the context of a binary outcome, treatment, and instrument, Balke and Pearl (1993, 1997) establish that the monotonicity condition of Imbens and Angrist (1994) has no identifying power beyond instrument exogeneity for…
Marginal treatment effects in the absence of instrumental variables
We propose a method for defining, identifying, and estimating the marginal treatment effect (MTE) without imposing the instrumental variable (IV) assumptions of independence, exclusion, and separability (or monotonicity)…
Identifying Marginal Treatment Effects in the Presence of Sample Selection
This article presents identification results for the marginal treatment effect (MTE) when there is sample selection. We show that the MTE is partially identified for individuals who are always observed regardless of trea…
A Vector Monotonicity Assumption for Multiple Instruments
When a researcher combines multiple instrumental variables for a single binary treatment, the monotonicity assumption of the local average treatment effects (LATE) framework can become restrictive: it requires that all u…