6 citations · 6 across the 3 of their papers we have counts for
4 papers
Dynamic Decision-Making under Model Misspecification: A Stochastic Stability Approach
Xinyu Dai, Daniel Chen, Yian Qian
Dynamic decision-making under model uncertainty is central to many economic environments, yet existing bandit and reinforcement learning algorithms rely on the assumption of correc…
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models
Jiafeng Chen, Daniel L. Chen, Greg Lewis
We offer straightforward theoretical results that justify incorporating machine learning in the standard linear instrumental variable setting. The key idea is to use machine learni…
Information Acquisition and Time-Risk Preference
Daniel Chen, Weijie Zhong
An agent acquires information dynamically until her belief about a binary state reaches an upper or lower threshold. She can choose any signal process subject to a constraint on th…
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
Alexandre Belloni, Daniel Chen, Victor Chernozhukov +1
We develop results for the use of Lasso and Post-Lasso methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with ma…