activity
20162026
most citedDeep Reinforcement Learning in a Monetary Model

10 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

econ.EM2026

Robust Priors in Nonlinear Panel Models with Individual and Time Effects

Zizhong Yan, Zhengyu Zhang, Mingli Chen +2

We develop likelihood-based bias reduction for nonlinear panel models with additive individual and time effects. In two-way panels, integrated-likelihood corrections are attractive…

econ.EM2021★ 10 cited

Deep Reinforcement Learning in a Monetary Model

Mingli Chen, Andreas Joseph, Michael Kumhof +2

We propose using deep reinforcement learning to solve dynamic stochastic general equilibrium models. Agents are represented by deep artificial neural networks and learn to solve th…

econ.EM2019

High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing

Alexandre Belloni, Mingli Chen, Oscar Hernan Madrid Padilla +2

We propose a generalization of the linear panel quantile regression model to accommodate both \textit{sparse} and \textit{dense} parts: sparse means while the number of covariates…

stat.CO2016

Counterfactual: An R Package for Counterfactual Analysis

Mingli Chen, Victor Chernozhukov, Iván Fernández-Val +1

The Counterfactual package implements the estimation and inference methods of Chernozhukov, Fernández-Val and Melly (2013) for counterfactual analysis. The counterfactual distribut…

math.ST2016

Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk

Alexandre Belloni, Mingli Chen, Victor Chernozhukov

We propose two types of Quantile Graphical Models (QGMs) --- Conditional Independence Quantile Graphical Models (CIQGMs) and Prediction Quantile Graphical Models (PQGMs). CIQGMs ch…