Teaching Philosophy
As an economist, data analyst, and AI enthusiast at Northeastern University, I, Richeng Piao, bring a unique perspective to teaching economics. My approach combines empirical research with insights into technology’s impact on economics, using historical events and current stories to make lectures engaging. I’m committed to fostering deep understanding, critical thinking, and practical skills in economics, aiming to inspire a lifelong interest in the subject. My teaching philosophy is about creating an interactive, supportive environment where students can connect theories with real-world applications. For more insights into my teaching methods and philosophy, please visit [Full Teaching Statement].
Courses Taught at Northeastern University
ECON1115 Principles of Macroeconomics
This course introduces students to the core principles of macroeconomics, focusing on the study of economies at an aggregate level. Key topics include national income accounting, GDP, inflation, unemployment, fiscal and monetary policy, and international trade. Students will explore how governments and central banks address economic challenges such as recessions, inflation, and economic growth. The course emphasizes real-world applications, using current events and historical examples to illustrate economic concepts. Through problem-solving, data analysis, and discussions, students will develop critical thinking skills and a deeper understanding of how macroeconomic policies impact societies globally.
ECON1116 Principles of Microeconomics
This course provides a foundation in microeconomic principles, focusing on the behavior of individuals and firms in making decisions about resource allocation. Key topics include supply and demand, market equilibrium, elasticity, consumer choice, production costs, and various market structures such as perfect competition, monopoly, and oligopoly. Students will also examine externalities, public goods, and the role of government in addressing market failures. Real-world examples and case studies are integrated to connect theoretical concepts to practical applications, fostering analytical skills and economic reasoning. Through interactive discussions and exercises, students will gain insights into how microeconomic principles shape everyday decision-making and policy development.
ECON2350 Statistics for Economists
This course introduces statistical methods and their applications in economics. Students will learn essential concepts such as probability, descriptive statistics, hypothesis testing, regression analysis, and statistical inference. Emphasis is placed on interpreting and applying statistical techniques to analyze real-world economic data. The course integrates the use of statistical software to develop practical skills in data visualization, modeling, and analysis. Through hands-on exercises and projects, students will gain a strong foundation in statistical reasoning, enabling them to critically evaluate data and apply quantitative methods to economic research and decision-making.
ECON2560 Applied Econometrics
This course focuses on the application of econometric methods to analyze real-world economic data. Students will explore regression analysis, hypothesis testing, and model specification, with an emphasis on addressing issues such as multicollinearity, heteroskedasticity, and endogeneity. Topics include panel data, time series analysis, and instrumental variables. Practical applications using statistical software empower students to interpret results and draw meaningful conclusions. Through hands-on projects and case studies, students will learn to critically evaluate economic models, develop empirical research skills, and apply econometric techniques to inform decision-making in policy and business contexts.
ECON2316 Microeconomic Theory
This course provides an advanced exploration of microeconomic theory, focusing on utility maximization, demand theory, production, and cost analysis. Students will delve into market structures, including perfect competition, monopoly, and oligopoly, analyzing pricing strategies and equilibrium outcomes. The course also addresses market imperfections, such as externalities and information asymmetry, along with policy implications. Advanced topics include game theory, behavioral economics, and industrial organization. Through problem-solving exercises, mathematical modeling, and case studies, students will strengthen their analytical skills and apply theoretical insights to real-world economic scenarios.
ECON4681 Information Econ & Game Theory
Welcome to Game Theory! In this course, I’ll guide you through the fascinating world of strategic interactions that influence decisions in economics, politics, business, and beyond. Together, we’ll explore how individuals and organizations make choices in situations where the outcome depends on the actions of others. I’ll introduce you to both the theoretical foundations and practical applications of game theory, helping you learn how to solve game equilibria, analyze strategic behavior, and apply these insights across various fields. Whether you’re aiming to deepen your understanding of economics or simply want to sharpen your strategic thinking, this course will give you the tools you need to navigate complex decisions with confidence.
Applied Data Analytics in Economics
This course equips students with the skills to analyze economic data using modern tools and methodologies. Students learn data scraping, cleaning, manipulation, and visualization using Python, R, and SQL. Key topics include causal inference techniques such as difference-in-differences (DiD), instrumental variables (IV), and regression discontinuity design (RDD). The course also introduces machine learning methods and their application to economic analysis. Through hands-on projects, students explore real-world datasets from sources like the BLS, BEA, and FRED, applying their knowledge to solve economic problems. The focus is on bridging theoretical understanding with practical, data-driven insights to prepare students for careers in a data-centric economy.
Diversity Statement
As an economist and educator at Northeastern University, I, Richeng Piao, champion the importance of diversity in education. My journey as a first-generation immigrant informs my teaching, where I foster an inclusive environment that values diverse perspectives. With experience teaching students from various cultural backgrounds, I emphasize inclusivity and cultural competency in my classroom. I believe in recognizing and celebrating each student’s unique story, ensuring that all voices contribute to a rich, vibrant learning community. My goal is to cultivate an academic space where differences are not just acknowledged but celebrated, enriching the educational experience and preparing students for a diverse world. [Diversity Statement].