2 citations · 3 across the 3 of their papers we have counts for
5 papers
Identification in Multiple Treatment Models under Discrete Variation
Vishal Kamat, Samuel Norris, Matthew Pecenco
We develop a marginal treatment effect based method to learn about causal effects in multiple treatment models with discrete instruments. We allow selection into treatment to be go…
Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers
Vishal Kamat, Samuel Norris
We develop new robust discrete choice tools to learn about the average willingness to pay for a price subsidy and its effects on demand given exogenous, discrete variation in price…
On the Identifying Content of Instrument Monotonicity
Vishal Kamat
This paper studies the identifying content of the instrument monotonicity assumption of Imbens and Angrist (1994) on the distribution of potential outcomes in a model with a binary…
Identifying the Effects of a Program Offer with an Application to Head Start
Vishal Kamat
I propose a treatment selection model that introduces unobserved heterogeneity in both choice sets and preferences to evaluate the average effects of a program offer. I show how to…
On Nonparametric Inference in the Regression Discontinuity Design
Vishal Kamat
This paper studies the validity of nonparametric tests used in the regression discontinuity design. The null hypothesis of interest is that the average treatment effect at the thre…