ST-Industrial Organization II

This course is a part of the IO sequence in the graduate level introduction to empirical industrial organization. The emphasis is heavily on recent, cutting-edge research done in the field of structural estimation of IO models. The aim is to provide the tools necessary to write a solid dissertation in empirical industrial organization. The techniques in this class will also be useful to students from other fields like labor, health and environmental economics.

Managerial Economics

Application of economic theory and quantitative analysis to the managerial decision-making process. Topics include: cost and production economics, demand analysis, business forecasting, investment project evaluation, and pricing and promotional strategies.

Hunger in a Global Economy

Explores the causes of hunger (chronic undernutrition) from an economic perspective. Focus on how population growth and economic development are increasing demand for food and on the prospects for food production to supply those needs at affordable prices, while sustaining the environment. Discussion in the context of the global economy in which increased trade links even the poorest urban and rural residents in developing countries to market forces. (Gen.Ed. SB, G)

Pub Pol In Prvt Mkts

Rationale and structure of public policies that affect the operation of private markets in the U.S., with special emphasis on consumer goods industries. Focus on antitrust and competition policies (e.g., those covering collusive restraints of trade, monopolization, and mergers) and on policies that affect product quality and information (e.g., product standards, regulation of advertising and labeling). BS Managerial Economics majors can satisfy their Integrative Experience requirement by taking this course plus Res-Econ 394LI and 452.

Decision Analysis

"No matter what type of job you get when you leave the ResEc family, you will need to be able to make good decisions using numbers. Some of you will get jobs performing analysis, while some of you will need to judge the credibility of the analysis done by others. The goal of this class is to introduce you to decision analysis. Decision Analysis covers how to best make decisions in an uncertain world. Topic include belief formation and updating, logical decision making and avoiding common decision errors, and appropriate information gathering.

Intro Stats/Soc Sci

Designed for students in the social science and business related fields of study. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences and business. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra and familiarity with computer and internet necessary. (Gen.Ed. R2)
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