Ph.D. in Agricultural and Applied Economics

Advance Research at the Intersection of Economics, Agriculture, and Policy.

Our coursework, research, and faculty mentorship with the Doctor of Philosophy (Ph.D.) in Agricultural and Applied Economics program to prepare you for research, teaching, and leadership careers in academia, goernment, and the private sector. Here, our doctoral students develop advanced expertise and pursue discoveries that will shape the future of economics and agricultural scholarship.


Requirements

Course Requirements (31 hours)


  • Seminar in Agricultural and Applied Economics provides graduate students with examples of state-of-the-art research and extension work conducted in topics relevant to their research, familiarize students with seminar presentations, and provide students with the opportunity to network with other students, faculty, and invited experts.

    View in Bulletin

  • This course is designed to prepare students for post-degree employment, particularly as university professors. 

    View in Bulletin

  • Through this class, students will enhance their competitiveness in the Agricultural and Applied Economics Job Market.

    View in Bulletin

  • Through this class, students will enhance their competitiveness in the Agricultural and Applied Economics Job Market.

    View in Bulletin

  • Advanced Quantitative Methods for Economists aims to advance econometrics and quantitative skills for applied data analysis through manipulating, visualizing, and summarizing data effectively using R, choosing, utilizing, and assessing the strength of various econometric models, and understanding and applying machine learning models for prediction.

    View in Bulletin

  • This course explores the theory and application of causal machine learning in three components: the basics of machine learning and commonly used algorithms, the causal inference framework, and data-driven heterogeneous treatment effects and policy estimation and evaluation. 

    View in Bulletin

  • Mathematical Analysis for Economists focuses on the mathematical methods and economic applications of topics in optimization theory. Students develop a thorough understanding of a set of basic mathematical techniques that are the foundations of empirical economic analysis.

    View in Bulletin

  • This course helps students develop an understanding of the methods of comparative-statics analysis as applied to the neoclassical theories of the firm and consumer behavior through analytical tools of calculus and matrix algebra. By the end of the course, students will be able to formulate and solve models of the behavior of firms and consumers using the methods of modern microeconomics.

    View in Bulletin

  • Microeconomic Theory II helps students develop an understanding of welfare economics, including concepts of Pareto efficiency and consumer surplus and the analysis and measurement of welfare costs of public goods, externalities and other "market failures".

    View in Bulletin

  • Statistics for Econometrics is designed to provide students with the statistical fundamentals of probability, estimation, and hypothesis testing that are necessary to understand the other Econometrics courses and theory/field courses.

    View in Bulletin

  • Through this class, students will develop an understanding of the specification and estimation of linear regression models with special attention to estimator properties and hypothesis testing under different statistical assumptions. Ordinary least-squares, maximum-likelihood and method-of-moments estimators are covered.

    View in Bulletin

  • ECON 8110 - Econometrics I

    Econometrics I focuses on the analysis of cross-section and panel data with attention to generalized method of moments, which serves as the framework for addressing most of the estimation and inference problems considered in the course.

    View in Bulletin

  • Econometrics II covers several important areas related to the theory and estimation of maximum likelihood models: small-sample and asymptotic properties, computer algorithms, qualitative and limited dependent variables, duration analysis, and nonparametric estimation.

    View in Bulletin

Specialization Requirements (9 hours):

Complete a minimum of 6 credit hours in two specializations for a total of 12 credit hours. Courses cannot be counted towards two specializations.


Environmental and Natural Resource Economics


  • Natural Resource and Environmental Economics I provides students with the foundation and basic analytical skills necessary for evaluating resource policy and use alternatives. Students will be able to examine resource use, management, and investment issues from an economic perspective.

    View in Bulletin

  • Nonmarket valuation is one of the critical tools in environmental and resource economics. This course explores nonmarket valuation in environmental economics, covering empirical techniques and topics like revealed perference methods, stated preference methods, and quasi-experimental policy evaluation.

    View in Bulletin

  • This course applies the economics toolkit to the analysis of environmental policy and regulations, including policy instruments and implementation. The concepts in the course are mainly applied to United States environmental policy towards air and water pollution, hazardous substances, and implementation of environmental law. 

    View in Bulletin

Food and Health Economics


  • This course focuses on the theoretical treatment of consumer demand, and explores utility theory and its assumptions, consumer behavior theory, and problems of application in agricultural and applied economics. 

    View in Bulletin

  • Nutrition globally is increasingly characterized by significant consumption of energy-dense, nutrient-poor food products that can contribute to poor health outcomes. 

    In this course, students will learn:

    • How to use a variety of consumer demand models to analyze food purchase and consumption data and to inform contemporary food and nutrition policy issues,
    • Practical considerations in choosing the preferred approach among the alternatives
    • Benefits and costs of each approach

    View in Bulletin

  • Advanced International Development and Rural Economies discuss key microeconomic papers in development economics with an emphasis on the agricultural household model, productivity measurement and growth, consumption poverty, factor markets, and structural transformation.

    View in Bulletin

Agricultural Markets, Trade, and Policy


  • This course explores the economic theory of production, duality, applications, and modeling.

    View in Bulletin

  • Price Analysis provides an advanced introduction to the understanding of forces that determine the level and behavior of commodity prices, linkages across commodity markets, and forecasting price levels and volatility. 

    View in Bulletin

  • Advanced International Development and Rural Economies discuss key microeconomic papers in development economics with an emphasis on the agricultural household model, productivity measurement and growth, consumption poverty, factor markets, and structural transformation.

    View in Bulletin

  • Macroeconomic Theory I explores theories of national income, unemployment, and interest and exchange rates, as well as the implementation, and domestic and global repercussions, of alternative monetary and fiscal policies.

    View in Bulletin

Behavioral and Experimental Economics


  • Nonmarket valuation is one of the critical tools in environmental and resource economics. This course explores nonmarket valuation in environmental economics, covering empirical techniques and topics like revealed perference methods, stated preference methods, and quasi-experimental policy evaluation.

    View in Bulletin

  • Survey Design and Experimental Economics provides an advanced introduction to the development, implementation, and analysis of surveys and experiments to collect primary data for economic research. Students will gain the foundation and experience needed to effectively design, administer, and analyze economic surveys and experiments and gain first-hand experience with experimental research.

    View in Bulletin

  • Experimental and Behavioral Economics is a comprehensive overview of the design, executions, and analysis of experiments inspired by economics, emphasizing applications in diverse settings. 

    View in Bulletin

 

Other Requirements

AAEC 9000 - Doctoral Research (3 hours minimum) and AAEC 9300 - Doctoral Dissertation (3 hours minimum)

GRSC 7001 - GradFIRST Seminar (1 hour) and GRSC 7770 - Graduate Teaching Seminar (1 hour)

All Applicable UGA language course requirements for international students.

Successful completion of the Institutional Review Board online training module related to Social and Behavioral Research before the end of the first academic semester.

Successful completion of Avoiding Plaigiarism Workshop.