• Econometrics II is an advanced undergraduate course that builds upon foundational econometric techniques to emphasize empirical applications. The course focuses on time series analysis and advanced panel data methods, including fixed and random effects models, instrumental variable (IV) estimation, and two-stage least squares (2SLS). It is computationally intensive, with an emphasis on hands-on implementation using software such as STATA or R. Students participate in lab sessions and collaborate on a term project that develops skills in independent quantitative research and real-world data analysis.

Key Topics: Time series models, advanced panel data techniques, difference-in-differences, fixed and random effects, instrumental variables, two-stage least squares (2SLS).

• Deliver high-quality instruction aligned with course objectives and outcomes;
• Inspire analytical and critical thinking in students;
• Demonstrate expertise in econometric theory and practical application;
• Use econometrics software (e.g., STATA, R) effectively in teaching;
• Mentor and support undergraduate students;
• Hold regular office hours and provide timely, constructive feedback;
• Meet all scheduled classes and fulfill academic responsibilities as outlined in the course syllabus;
• A letter of interest highlighting qualifications and availability.

• A Ph.D. or a Master’s degree in Economics, Finance or a related field from an accredited institution;
• Demonstrated experience designing and teaching similar courses, preferably at the collegiate level;
• Minimum of one year of teaching experience in higher education;
• Proficiency in English (spoken and written);
• Strong commitment to education, scholarship, and community engagement.