1. Students finishing their course work will demonstrate advanced knowledge of economic theory and methodology by applying this knowledge to solving practical problems related to economic, social, and environmental issues in diverse policy contexts.
2. Students finishing their course work should possess a solid understanding of major quantitative methods of applied econometrics and statistical learning, and be able to select appropriate econometric and statistical techniques to frame and implement economically meaningful hypothesis testing, particularly in the context of big data, to generate reliable economic forecasts and to establish robust causality with non-experiment data.
3. By graduation students will be able to find important topics, develop research agendas, be able to execute such agendas, and then produce publication quality reports on the research. The ability will be demonstrated by the completion of a publication quality doctoral dissertation.
4. By graduation students will be able to obtain professional employment utilizing the skills they have learned in graduate school.
5. By graduation students will be able to apply the formal tools in the economics discipline in diverse policy areas and contexts including inequality, social and racial justice, and competitive markets and in a variety of career settings, including academia, research, consulting, management, and policy making.
6. By graduation students will be able to communicate knowledge of economics effectively both within and outside of academia, including the classroom, conferences, and professional meetings
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Type of Program
- PhD