Working Papers

Optimal Discrete Decisions when Payoffs are Partially Identified
Joint with Tim Christensen (NYU) and Hyungsik Roger Moon (USC)
This Version: April 2022
An earlier version (November 2020) of the paper circulated under the title Robust Forecasting. Replication Files: Computer Code. Also available as: arXiv working paper and PIER Working Paper 20-38

Sequential Monte Carlo With Model Tempering
Joint with Marko Mlikota (University of Pennsylvania)
This Version: February 2022
Also available as CEPR Discussion Paper 17035
Julia replication files are available on github.

On the Effects of Monetary Policy Shocks on Earnings and Consumption Heterogeneity
Joint with Minsu Chang (Georgetown University)
This Version: February 2022
Also available as CEPR Discussion Paper 17049

Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic
Joint with Dongho Song (Johns Hopkins Carey Business School)
This version: November 2021, also available as CEPR Discussion Paper 16760 and NBER Working Paper 29535
First version: July 2020, available as FRB Philadelphia Working Paper 20-26 and PIER Working Paper 20-39
MATLAB Code for July 2020 version
Real-time forecast generated over the period from March 2020 to August 2021 are available here.

Forecasting with a Panel Tobit Model
Joint with Laura Liu (Indiana University) and Hyungsik Roger Moon (USC)
This Version: October 2021
Download Replication Files for  current version of paper.
An earlier version of the paper is available as NBER Working Paper 26569.
Download Replication Files for NBER Working Paper.

Heterogeneity and Aggregate Fluctuations
Joint with Minsu Chang (Georgetown) and Xiaohong Chen (Yale)
This version: May 2021
Julia Replication Files 2021-05-14 via Dropbox Link
Also available as CEPR Discussion Paper 16183, NBER Working Paper 28853, and Cowles Foundation Discussion Paper 2289
First (preliminary version):  November 2018


Clustering for Multi-Dimensional Heterogeneity
Joint with Xu Cheng (Penn) and Peng Shao (Penn)
Preliminary Version: November 2019

Financial Support from the National Science Foundation under Grant SES 1851634 is gratefully acknowledged.