
Tsegay Tekleselassie
Visiting Lecturer in Economics
My primary research focuses on development economics, labor economics, and political economy.
I am passionate about exploring the economic factors that drive societal progress and policies that can enhance economic development and improve labor markets for gainful employment.
Prior to joining Wellesley College, I was a Visiting Assistant Professor of Economics at Northeastern University (2022-2024) and a Senior Researcher at the Policy Studies Institute in Ethiopia.
At Wellesley, I teach Principles of Microeconomics (ECON 101), Principles of Macroeconomics (ECON 102), and Economic Development (ECON 320).
Education
- B.A., Addis Ababa University
- M.S., University of Copenhagen
- Ph.D., University of Sussex
Current and upcoming courses
Economic Development
ECON320
This class introduces students to the research field of economic development. We will examine some of the big topics in economic development and how economists study them. For example, we will study key aspects of life for poor households in the developing world, such as fertility, education, and savings, through the lens of economic theory. We will consider interventions and policy options designed to improve outcomes and examine related empirical evidence. Students will study recent research in this area and, for the final project, propose a research project on a question of relevance in development economics.
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Principles of Microeconomics
ECON101
This first course in economics provides the fundamental tools for exploration of the field. Microeconomics considers the decisions of households and firms about what to consume and what to produce, and the efficiency and equity of market outcomes. Supply and demand analysis is developed and applied. Policy issues include price controls, competition and monopoly, income inequality , and the role of government in market economies. Students who have AP or IB credit in economics, and who elect ECON 101, forfeit the AP or IB credit. ECON 101P is an alternative course open to students who have not fulfilled the Quantitative Reasoning (QR) component of the Quantitative Reasoning & Data Literacy requirement.