This course integrates knowledge of economics, business administration, finance, accounting, marketing, decision making, and research methodology. The focus is on analytical skills and scholarly academic research.
This course uses statistical tools to model agricultural and economic systems. Subjects covered include: (1) the classical linear regression model, techniques for single and simultaneous equation models.
This course focuses on development of a framework to analyze alternative paradigms of the political economy. The framework focuses on the role of institutions that modify behavior of decision makers. Agricultural and food policies are evaluated in terms of the efficient use of resources and the general welfare of society.
This course introduces students to the econometric models, estimation procedures, and model applications in the literature. The course includes an overview of different econometric models, model estimations using Stata and SAS, discussion of agricultural and applied economics papers applying these models, and writing mini projects and a term paper with econometric applications. Topics include discrete and limited dependent variable models, panel data models, time-series models, instrumental variables, survival analysis, spatial econometrics and other special topics.
Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.
Half-time to full-time work on dissertation. May be repeated to a maximum of six semesters.
Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
May be repeated to a maximum of 12 hours.
Open to graduate students who have the necessary training and ability to conduct research on a selected problem. May be repeated three times for a total of nine credits.
Independent research under the direction of a faculty members and the Director of Graduate Studies. Variable credit may be repeated to a maximum of eighteen hours.
