OSU’s Applied Economics Graduate Program awards the PhD, MS, and MA degrees in Applied Economics. The program includes rigorous core courses in economic theory, econometrics, and other quantitative methods; courses in one or more concentration areas selected from the economics of natural resources and environment, trade and development, marine resources, and rural development; and a PhD dissertation, MS thesis, or MS project paper. Emphasis is on the use of economic theory and quantitative methods to examine important real-world problems, paying significant attention to the relevant contexts, institutions, and data.
The program is designed and staffed by OSU’s distinguished Graduate Faculty of Applied Economics, drawn from the Departments of Applied Economics; Forest Ecosystems and Society; and Forest Engineering, Resources, and Management; from the School of Social and Behavioral Health Sciences; and from the Economics Program in the School of Public Policy. Students have the opportunity to be supported by graduate research and teaching assistantships. Explore this site for more information about our program. Do not hesitate to be in touch with any questions. To contact Tjodie Richardson use her email email@example.com or phone 541-737-1399.
Deng (Dede) Long is a student in our PhD program. Dede’s dissertation research topic is aimed at integrating an equilibrium sorting model of residential location and housing market adjustments in the Portland Metropolitan area with quantitative models of the effects of traffic-related air pollution on health. Dede anticipates that her research will be of interest to a diverse audience of environmental and public health economists. Before moving to the Pacific Northwest, Dede obtained her Master’s degree in Agricultural Economics from the University of Arkansas. Dede has published her Master’s thesis on Farm Service Agency Guaranteed Loans in the Agricultural Finance Review. Dede recently taught AEC 250, Introduction to Environmental and Economic Policy, and she presented her dissertation research at the 2017 Association of Environmental and Resource Economists Annual Summer Conference in Pittsburgh, Pennsylvania.
Roshan Adhikari is a student in our PhD program. He is studying agricultural and natural resource economics, with a research focus on climate change and technology adoption, primarily dealing with integrated assessments of agro-environmental policies and agro-technological innovations. Roshan has a Bachelor’s degree in Economics-Mathematics from Whitman College. Roshan was selected to the Young Summer Scientists Program at the International Institute of Applied Systems Analytics (IIASA) in Austria where he worked on his dissertation with other researchers from IIASA. He has also presented his work at several conferences: AgMIP conference in France, SEA conference in Washington D.C., and the USDA-NIFA grant meeting in New Orleans. Roshan recently taught AEC 311, Intermediate Microeconomics, and has worked as a TA for five courses at OSU. Roshan has published his work on an income based food security indicator for agricultural technology impact assessment. His forthcoming papers focus on climate change and agro-technology adoption in Ethiopia and Kenya.
Matthew Lundgren (Major Professor: Christian Langpap) “Why Wolves? An Analysis of Private Organization Decision Making in Filing Citizen Suits under the Endangered Species Act”
Caleb Dickson (Major Professor: John Antle) “Examining Agricultural Household Welfare through Output Marketing Choices and Land Market Efficiency: Evidence from Rural India”
Yukiko Hashida (Major Professor: David Lewis) “How Does Climate Change Adaptation and Carbon Price Policy Affect Forested Landscapes? An Empirical Analysis of Forest Management under Climate Change on the U.S. West Coast”
Chris Lauer (Major Professor: Claire Montgomery) “Determining Optimal Timber Harvest and Fuel Treatment on a Fire-threatened Landscape Using Approximate Dynamic Programming”
Jialing Yu (Major Professor: Junjie Wu) “Welfare Effects of the Federal Crop Insurance Program: The Sufficient Statistics Approach”