Chencheng Fang

Hausdorff Center for Mathematics
Institute of Finance and Statistics, University of Bonn
Bonn Graduate School of Economics

About Me

Welcome to my webpage! I am Chencheng Fang, a Ph.D. researcher majoring in Statistics and Econometrics at University of Bonn in Germany. I am co-supervised by Prof. Dr. Dominik Liebl and Prof. Dr. Christoph Breunig from University of Bonn, as well as an external supervisor, Prof. Dr. Piotr Kokoszka from Colorado State University.
I am broadly engaged in research of causal inference, functional data analysis, computational statistics, simultaneous, and more recently, anytime-valid hypothesis testing. I have a strong interest in statistical and econometric problems arising in applied management and economics research, particularly in developing and refining statistical and econometric methods to better accomodate the practical needs of empirical researchers. I am highly motivated to disseminate my works through the development of R packages and Shiny apps, thereby facilitating transparent and accessible implementation of my research.

Research Interests

Causal Inference
Functional and Panel Data Analysis
Computational Statistics
Machine Learning Aided Statistical Inference
Management

Publications and Working Papers

On a Common Misconception about Count Data Models in Empirical OM Research: A Review and Practical Guide

Fang, C., Gao, J. (2026)

Working Paper

SSRN

Making Event Study Plots Honest: A Functional Data Approach to Causal Inference

Fang, C., & Liebl, D. (2026)

Working Paper

arXiv

Dimension Adaptive Estimation

Fang, C. (2023)

University of Bonn

PDF

Post-promotion Redemption, Exposure, and Spillover Effects of Electronic Coupons: An Empirical Analysis

Zhang, X., Yao, Y., Zhang, J., & Fang, C (2023)

Production and Operations Management, 32(2), 603-617

DOI

Softwares

fdid

Performing honest causal inference using event study plots

R package

GitHub

fdidHonestInference

Performing honest causal inference using event study plots

Shiny app

Link

nndiagram

Generating LaTeX code for drawing neural network diagrams with TikZ

R Package

CRAN

dimada

Implementing dimension adaptive estimation

R Package

GitHub

HonestDiDSenAnlys

Running sensitivity analysis in Rambachan and Roth (2023) on web browsers.

Shiny app

Link

Work in Progress

Anytime Valid Conformal Prediction for Streaming Time Series
Honest Root-n Inference in Nonparametric Regression (with Dominik Liebl, Omar Kassi)
Post-Registration Inference (with Dominik Liebl)
Deep Panel Quantile Regression (with Joonho (Phil) Hwang and Gayeon Hong)
Synthetic Difference-in-Differences with Missing Post-Treatment Outcomes (with Joonho (Phil) Hwang)
On Ripple Effect (with Omer Erhan Erbis)
Testing on the Constant-Parameter Assumption in Panel Data Models (with Dominik Liebl)
On Outlier Detection with Finite-Sample Coverage Guarantee

Professional Activities

Student Member at the Econometric Society, Jan. 2026 - Present
Member of Forecasting Panel at the Social Science Prediction Platform, Sep. 2026 - Present

Contact

Email: ccfang@uni-bonn.de
Office Address: U1.028, Juridicum, Bonn, Germany