Teaching - Instructor of Record

Mathematical Statistics

Spring 2024, Spring 2025 - Randomness and uncertain events are an inherent part of the environment that we study as economists. The first part of this course will introduce the mathematics associated with probability theory, and its practical applications. In the second part of this course, we will use the tools we learned in probability theory to provide a basis for statistical inference. This course serves as an important baseline for working with and analyzing data, and the statistical properties associated with models and techniques used in subsequent courses in econometrics.

Mathematical Foundations of Contemporary Economic Theory (Math Camp)

Summer 2024, Summer 2025 - This course aims to introduce and remind you of the mathematics required for M.A. and Ph.D. courses in economics. In this course, we will learn standard tools and cookbook procedures that are required for first-year courses. Lectures are divided into six modules: sets and spaces, functions, linear algebra, differentiability, optimization and numerical methods.

Health Economics

Winter 2024, Summer 2024, Winter 2025, Summer 2025 - This course provides a broad overview of health policy, both in the U.S. and abroad, and explores the role that economic theory plays in the national healthcare reform debate. Students will be introduced to several theoretical tools and empirical observations used in economics to better understand the economic problems present in healthcare markets. We will explore the demand of healthcare, the supply of healthcare, and the role of information economics in the healthcare sector. We will apply these three topics to a discussion of public policy in the healthcare sector. We will use our economic tools to better understand market failures in the healthcare sector and the role for health policy to address these issues. By the end of the course, students should be able to analyze public policy in healthcare from an economist’s perspective.