Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument / Vedant Vohra, Jacob Goldin.

Format:

Book

Author/Creator:

Vohra, Vedant.

Contributor:

National Bureau of Economic Research.

Goldin, Jacob.

Series:

Working Paper Series (National Bureau of Economic Research) no. w32425.

NBER working paper series no. w32425

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2024.

Summary:

The effect of a treatment may depend on the intensity with which it is administered. We study identification of ordered treatment effects with a binary instrument, focusing on the effect of moving from the treatment's minimum to maximum intensity. With arbitrary heterogeneity across units, standard IV assumptions (Angrist and Imbens, 1995) do not constrain this parameter, even among compliers. We consider a range of additional assumptions and show how they can deliver sharp, informative bounds. We illustrate our approach with two applications, involving the effect of (1) health insurance on emergency department usage, and (2) attendance in an after-school program on student learning.

Notes:

Print version record

May 2024.