1 citations · 1 across the 2 of their papers we have counts for
3 papers
econ.EM2020
Weak Identification in Discrete Choice Models
David T. Frazier, Eric Renault, Lina Zhang +1
We study the impact of weak identification in discrete choice models, and provide insights into the determinants of identification strength in these models. Using these insights, w…
econ.EM2020
Spillovers of Program Benefits with Missing Network Links
Lina Zhang
The issue of missing network links in partially observed networks is frequently neglected in empirical studies. This paper addresses this issue when investigating the spillovers of…
econ.EM2020★ 1 cited
Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects
Lina Zhang, David T. Frazier, D. S. Poskitt +1
This paper examines the identification power of instrumental variables (IVs) for average treatment effect (ATE) in partially identified models. We decompose the ATE identification…