ACAdora Chen

DATA ANALYTICS & ECONOMIC RESEARCH

Adora
Chen.

I study how markets work
through data.

I’m Xuange (Adora) Chen, an Applied Statistics master’s student at Penn State, with a background in mathematics and economics. My interests center on applied econometrics, economic consulting, and empirical economics research.

Explore my research Download résumé (DOCX)
PENNSYLVANIA STATE UNIVERSITYM.S. APPLIED STATISTICS · EXPECTED DEC 2027

01 / RESEARCH

From a question to a defensible conclusion.

INDEPENDENT RESEARCH

Delta–Northwest
Merger

Assessing Fare Changes After the Delta–Northwest Merger: Evidence and Limits

PythonPanel dataEconometrics
Read writing sample (PDF) Technical supplement (PDF) Code, data & replication

The question

How do fare patterns differ between routes with pre-merger Delta–Northwest overlap and comparison routes?

The approach

I construct passenger-weighted route-quarter fares from DB1B-derived market summaries, estimate route and quarter fixed-effects models, and examine event-study trends and sensitivity to route definitions and weighting.

WHAT THE ANALYSIS SHOWS

The baseline comparison shows a 5.72% relative fare decline on overlap routes after the merger. Pre-merger differences and sensitivity to sample definitions limit a causal interpretation: this estimate is a conditional association, not an identified merger effect.

Explore the analytical workflow
  1. Audit the inputs. Check schema, missingness, duplicate keys, and data provenance.
  2. Build the panel. Aggregate passenger-weighted fares and classify pre-merger route exposure.
  3. Estimate and challenge. Examine fixed effects, pre-period trends, and alternative samples.
  4. Communicate uncertainty. Document assumptions and distinguish regression contrasts from causal effects.

The writing sample presents the findings and their economic interpretation. The supplement documents data cleaning, definitions, and technical checks; GitHub provides the analysis code, saved results, and the original input dataset with source attribution and a checksum.

02 / BACKGROUND

Statistics, economics, and practical analysis.

Built on quantitative
foundations.

I enjoy turning messy data into structured analysis—and explaining the results clearly enough to inform a decision.

Download full résumé
PENN STATE · EXPECTED DEC 2027

M.S. in Applied Statistics

Regression models, statistical theory, and data mining.

PENN STATE · MAY 2026

B.S. in Mathematics and Economics

A foundation in quantitative reasoning and economic analysis.

APPLIED EXPERIENCE

Data analysis & teaching

Experience in customer segmentation, market analysis, business dashboards, and supporting university statistics and mathematics courses.

Analysis

Python · SQL · R · SAS · Stata

Visualization

Tableau · Power BI · Excel

Research methods

Panel regression · Event studies · Sensitivity analysis

03 / CONTACT

Let’s talk
data.

I’m interested in economic consulting and economics research assistant opportunities, with a focus on empirical analysis and clear communication of evidence.

LinkedIn ↗GitHub ↗Résumé ↓