Xuange (Adora) Chen

Master of Applied Statistics student
Pennsylvania State University

Research Interests

My research interests include applied econometrics, causal inference, and machine learning, particularly their applications to the study of markets and competition. My background is in mathematics and economics, and I am currently pursuing a master’s degree in Applied Statistics at Penn State.

Selected Research

Fare Changes After the Delta–Northwest Merger: Market Composition and Competitive Exposure

Independent research · Developed from ECON 449 · September 2026

Accepted for poster presentation at the Econometric Society Summer School.

Using approximately 4.18 million Borenstein DB1B market summaries from 2005–2010, I examine relative fare changes around the Delta–Northwest merger. Accounting for baseline route composition reduces the estimated relative fare decline and leaves it statistically indistinguishable from zero.

I use Python for data construction, R for HonestDiD sensitivity analysis, and R and Stata for independent regression checks. Methods include route and quarter fixed effects, event studies, baseline composition controls, and within-route carrier fare comparisons.

Data and methods

I construct passenger-weighted route-quarter fares and evaluate distance, baseline itinerary composition, Southwest exposure, and comparison-route selection. The technical supplement documents data cleaning, full results, raw fare trends, and sensitivity to departures from parallel trends. The replication repository includes code, saved analysis panels, and verified source-download instructions.

Education

Pennsylvania State University

Skills

Programming and analysis:
Python, R, SAS, Stata, SQL
Research methods:
Panel regression, event studies, sensitivity analysis
Visualization:
Tableau, Power BI, Excel