• 

  Time-Varying Parameters: A Machine Learning Approach

• 

  Two-Steps Sieve M-Estimation with Group Heterogeneity, with Application to Production Function

• 

  Frequentist Shrinkage under Inequality Constraints

• 

  Network peer effects with selection into treatment: Reevaluating microfinance adoption in India

• 

  Forecasting as a Robust Decision: Local Asymptotic Evaluation

• 

  Jumps, Realized Densities, and News Premia

• 

  Inference for Heterogeneous Effects Using Low-Rank Estimation of Factor Slopes

• GMM on Panel Model with Latent Group Heterogeneity

• 

  Dynamically optimal treatment allocation using Reinforcement Learning'

• Counterfactual inference and Experimental Design over Networks

• 

  Semiparametric Panel Model and Group Heterogeneity, with an application to Production Function

• Information Complementarities and Polarization in Networks

• 

  Inference After Estimation of Breaks

• Cross-holding Networks and The Transmission of Banking Sector Shocks

• 

  The Global Component of Inflation Volatility