About Me

About Me

Welcome to the professional profile of Richeng Piao, an economist, data analyst, and AI enthusiast with a rich academic and professional background that bridges empirical research, data analytics, and education. My career integrates advanced econometric modeling, data-driven insights, and innovative teaching methods to address contemporary economic challenges and prepare students for the evolving demands of the digital economy.

My current research focuses on algorithmic pricing in digital marketplaces, particularly Airbnb’s pricing strategies, and their implications for market dynamics and competition. Using advanced econometric techniques such as Regression Discontinuity Design (RDD) and Propensity Score Matching (PSM), my work explores how AI-driven tools reshape economic frameworks and influence policy considerations.

In the classroom, I am dedicated to translating complex economic theories into accessible, practical knowledge. My teaching philosophy emphasizes active learning, blending real-world applications with theoretical foundations. Whether it’s using historical economic events, contemporary case studies, or experiential projects like fieldwork and data analysis with Python and Jupyter Notebook, I aim to engage students in critical thinking and problem-solving that extend beyond the classroom.

Aligned with the principles of student-centered education, I design courses that cater to diverse learning preferences through lectures, interactive discussions, and hands-on applications. My goal is to empower students with the skills to analyze data, interpret economic models, and make informed decisions in a rapidly changing, AI-driven market landscape.

With a deep commitment to mentorship, I guide students on their academic and professional journeys, fostering intellectual curiosity and equipping them with practical tools for success. My passion for teaching economics, coupled with expertise in econometrics and AI, allows me to deliver an educational experience that is both enriching and impactful.

Join me in exploring the intersection of economics, technology, and data, as we uncover insights to shape a more informed, equitable, and efficient market. Together, let’s navigate the complexities of today’s global economy and prepare for the opportunities of tomorrow.

REFERENCES

Dr. James Dana 

(Committee Chair)
Professor of Economics and Strategy
Department of Economics
Northeastern University
j.dana@northeastern.edu        
(617)373-7517

Dr. Imke Reimers 

Assistant Professor
Department of Economics
Northeastern University
i.reimers@northeastern.edu
(617)373-5949

Dr. Gustavo Vicentini

Associate Teaching Professor of Economics; Undergraduate Program Director
Department of Economics
Northeastern University
g.vicentini@northeastern.edu
(617)373-5949

RESEARCH

Current and Future Works

The New Age of Collusion? An Empirical Study into Airbnb’s Pricing Dynamics

 Explores how algorithmic pricing on Airbnb influences host strategies and market competition, using ML methods to cluster different hosts and combining them with Fuzzy Regression Discontinuity Design (FRDD) to analyze causal effects. Findings reveal potential shifts towards coordinated pricing, offering insights into regulating digital marketplaces.

Can Community Funding Replace Intellectual Property for Creative Sustainability?

Examines whether platforms like Patreon can replace IP laws. Using a repeated game-theoretic framework, the study shows that as patronage and social norms grow, reliance on IP laws decreases, fostering a more sustainable creative economy.


P.hd Works

“Applications of Structural Demand Estimation to the Smartphone and Electric Automobile Industries”

Quality, Variety, and Welfare: The U.S. Smartphone Market”

 “Fuel Prices, Federal Tax Credits, and the Welfare: A Case of the Electric”

TEACHING

University Instructor, Department of Economics, Northeastern University, Boston, MA

Applied Data Analytics in Economics (2025 Spring)

Information Econ & Game Theory (2020Present)

Microeconomics Theory (2020Present)

Econometrics (2023 Spring)

Applied Statistics for Economics (2022 Fall)

Principles of Microeconomics (2019Present)

Principles of Macroeconomics (2017 – Present)

Money and Banking (2016 – 2017)

Principles of Microeconomics (Summer 2014)

Recitation Instructor, Department of Economics, Northeastern University, Boston, MA

Principles of Macroeconomics (2015 - 2016)

Principles of Microeconomics (2014 – 2016)

Teaching Assistant, Department of Economics, Northeastern University, Boston, MA

Mathematic for Economists (Spring 2014)

Intermediate Microeconomics (Fall 2013)

Intermediate of Macroeconomics (Fall 2013)

Statistics for Economics (Spring 2013)

The Principle of Microeconomics ( Spring 2013)

Development Economics (Fall 2012)

Economics of crime (Fall 2012)