activity
20182025
most citedSimple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models

4 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

math.AT2025

Exploring the Stratified Space Structure of an RL Game with the Volume Growth Transform

Justin Curry, Brennan Lagasse, Ngoc B. Lam +3

In this work, we explore the structure of the embedding space of a transformer model trained for playing a particular reinforcement learning (RL) game. Specifically, we investigate…

econ.EM2022

Weak Identification in Low-Dimensional Factor Models with One or Two Factors

Gregory Cox

This paper describes how to reparameterize low-dimensional factor models with one or two factors to fit weak identification theory developed for generalized method of moments model…

econ.EM2022★ 1 cited

A Generalized Argmax Theorem with Applications

Gregory Cox

The argmax theorem is a useful result for deriving the limiting distribution of estimators in many applications. The conclusion of the argmax theorem states that the argmax of a se…

econ.EM2020

Weak Identification with Bounds in a Class of Minimum Distance Models

Gregory Fletcher Cox

When parameters are weakly identified, bounds on the parameters may provide a valuable source of information. Existing weak identification estimation and inference results are unab…

econ.EM2019★ 4 cited

Simple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models

Gregory Cox, Xiaoxia Shi

We propose a simple test for moment inequalities that has exact size in normal models with known variance and has uniformly asymptotically exact size more generally. The test compa…

econ.EM2018

Almost Sure Uniqueness of a Global Minimum Without Convexity

Gregory Cox

This paper establishes the argmin of a random objective function to be unique almost surely. This paper first formulates a general result that proves almost sure uniqueness without…