The course will address international problems and issues that are multi-dimensional, including those shaping and shaped by political, cultural, economic, and ecological processes. Each issue or problem will be analyzed from multiple theoretical perspectives, drawing upon a wide range of theories in economics, politics, and sociology.

A study of advanced statistical methods in quantifying economic theory. Emphasis on the practical application of regression analysis to test economic theory, especially where the assumptions underlying ordinary least squares analysis are violated. Examines several different subjects that illustrate empirical economic research.

Analysis of theoretical models and empirical studies on the economic performance of industries. Approaches studied include transaction cost economics, game theory, and pricing models. Topics include advertising, research and development, and relationships between government and business such as regulation and antitrust laws.

The course will illustrate and analyze the strategies used in making interrelated decisions. We will develop game theoretical tools and apply them to examples from economics, business, politics, and even sports. Topics include the prisoner's dilemma, signaling, coordination, voting, and competition. We analyze games in static and dynamic environments with perfect and imperfect information.

We will explore and discuss the policies, procedures, demands, related data (costs, investment levels, success rates, etc.) and impacts of entrepreneurship and entrepreneurial activity in a variety of countries and at the global level, making use of reports, case studies, data centers and organizations. Expect to explore comparisons such as: who are entrepreneurs? who tends to be successful? which governments, societies and economic systems are most supportive? which are least supportive? what are the varieties of entrepreneurial activity?

A study of statistical methods applied to economic and social data. Measures of central tendency and dispersion, point and interval estimation, hypothesis testing, simple correlation, and simple and multiple regression analysis.

A study of statistical methods applied to economic and social data. Measures of central tendency and dispersion, point and interval estimation, hypothesis testing, simple correlation, and simple and multiple regression analysis.

In this class, we will use the lens of economic analysis to examine how environmental problems arise and what can be done to resolve them. This will include an assessment of relevant environmental policies (e.g., carbon tax & cap-and-trade programs), how these policies function, and what impacts they have on people and the economy. Topics include market failures and externalities, pollution, climate change, management of renewable and nonrenewable resources, sustainability, biodiversity, and others.

In this class, we will use the lens of economic analysis to examine how environmental problems arise and what can be done to resolve them. This will include an assessment of relevant environmental policies (e.g., carbon tax & cap-and-trade programs), how these policies function, and what impacts they have on people and the economy. Topics include market failures and externalities, pollution, climate change, management of renewable and nonrenewable resources, sustainability, biodiversity, and others.

Economic development is the study of the macro and micro dynamics that shape economic and social outcomes in low and middle-income countries in Africa, Asia, Latin America and transition economies. The outcomes we focus on in this course are human well-being, poverty, and inequalities as well as structural transformation, economic growth, sustainability, and the creation of decent jobs.