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Identification in Multiple Treatment Models under Discrete Variation

Author:
Vishal Kamat, Samuel Norris, Matthew Pecenco
Keyword:
Economics, Econometrics, Econometrics (econ.EM)
journal:
--
date:
2023-07-11 16:00:00
Abstract
We develop a method to learn about treatment effects in multiple treatment models with discrete-valued instruments. We allow selection into treatment to be governed by a general class of threshold crossing models that permits multidimensional unobserved heterogeneity. Under a semi-parametric restriction on the distribution of unobserved heterogeneity, we show how a sequence of linear programs can be used to compute sharp bounds for a number of treatment effect parameters when the marginal treatment response functions underlying them remain nonparametric or are additionally parameterized.
PDF: Identification in Multiple Treatment Models under Discrete Variation.pdf
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