From the 1 of 14 linked papers with an AI index.
14 papers
Single-Network Finite-Sample Inference in Strategic Network Formation Models
Wayne Yuan Gao, Ming Li
The paper proposes a finite‑sample inference method for strategic network formation models that works with a single observed network and does not require assumptions about network…
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes
Ivan Fernandez-Val, Wayne Yuan Gao, Yuan Liao +1
We introduce a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of primary interest are functionals of these coefficients,…
Variance or Standard Deviation? Shell Geometry and Global-Scale Priors in High-Dimensional Shrinkage
Wayne Yuan Gao, Zhiheng You
We study how the choice of default prior for a common Gaussian scale affects high-dimensional shrinkage risk, highlighting the role played by high-dimensional geometry. Formally, w…
Identification in Dynamic Dyadic Network Formation Models with Fixed Effects
Wayne Yuan Gao, Yi Niu
This paper establishes (set) identification results in a dynamic dyadic network formation model with time-varying observed covariates, lagged local network statistics, and unobserv…
When "Normalization Without Loss of Generality" Loses Generality
Wayne Gao
Normalization is ubiquitous in economics, and a growing literature shows that ``normalizations'' can matter for interpretation, counterfactual analysis, misspecification, and infer…
Tractable Identification of Strategic Network Formation Models with Unobserved Heterogeneity
Wayne Yuan Gao, Ming Li, Zhengyan Xu
We develop a tractable identification approach for strategic network formation models with both strategic link interdependence and individual unobserved heterogeneity (fixed effect…