Introduction to the economics of markets and market economies. Basic concepts of demand, supply, production, prices, allocation of resources, and distribution of income. Public policy applications. (Gen.Ed. SB)

Analysis of theories of determination of national income, aggregate employment, and the price level. Monetary and fiscal policy. Inflation, unemployment, and economic growth.

Economic theory of the macro-economy. Determinants of unemployment rates, inflation rates, national income, GDP. Tools of public policy available which can be used to promote macroeconomic goals. (Gen.Ed. SB)

Economic theory of the macro-economy. Determinants of unemployment rates, inflation rates, national income, GDP. Tools of public policy available which can be used to promote macroeconomic goals. (Gen.Ed. SB)

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Introduction to the economics of markets and market economies. Basic concepts of demand, supply, production, prices, allocation of resources, and distribution of income. Public policy applications. (Gen.Ed. SB)

Economic theory of the macro-economy. Determinants of unemployment rates, inflation rates, national income, GDP. Tools of public policy available which can be used to promote macroeconomic goals. (Gen.Ed. SB)

This course examines the political economy of environmental degradation and environmental protection. Environmental degradation includes both pollution and natural resource depletion. In addition to the neoclassical economic question of how scarce resources are allocated among competing ends (for example, a cleaner environment versus more consumer goods), the course explores the political economy question of how resources are allocated among competing individuals, groups, and classes. The course is divided into three parts. The first explores environmental policy objectives.

This course provides an introduction to Econometrics. Econometrics applies economic theory and the tools of descriptive and inferential statistics to economic data to answer a wide variety of interesting questions. Econometrics theory and tools can be used to: describe the characteristics of a population; create hypotheses and test the predictions of a theoretical model; and estimate the statistical relationship between two variables. This course will introduce you to the theoretical foundations and empirical applications of multiple regression analysis.