Learning at Chapman

MS Behavioral and Computational Economics

Learning at Chapman

MS Behavioral and Computational Economics

ยป MS Behavioral and Computational Economics Learning Outcomes

  1. Students will be able to describe and provide examples of the effective use of economic models and experimental procedures, and they will demonstrate the ability to implement economic modeling techniques in both experimental and computational settings.
  2. Students will be able to formulate appropriate statistical models and hypotheses, analyze data effectively, and create useful depictions of data and theory.
  3. Students will demonstrate effective written and verbal communication; understand the social impact of an economic problem in relation to existing literature, and articulate in homework, presentations and thesis the validity of the research methodology undertaken and its position in the context of current research results.
  4. Students will be able to recognize interactive decision making environments in which participants have an incentive to strategically respond to one and other in order to achieve either competitive or cooperative goals. Students will be able to mathematically model those environments then use either analytical or computational methods to predict the behavior that might be observed when participants act in their own interests.