Jon Conrad

Jon Conrad

Professor

409 Warren Hall

607-255-7681

Vita

Areas of Expertise

  • Dynamic Optimization
  • Resource and Environmental Economics
  • Resource Economics

Graduate Fields

  • Applied Economics and Management
  • Economics
  • Regional Science

Education

  • Doctorate University of Wisconsin - Madison, 1973
  • Master's Degree University of Washington, 1970
  • Bachelor of Science University of Wisconsin - Milwaukee, 1968

Jon M. Conrad is Professor of Resource Economics in the Dyson School of Applied Economics and Management at Cornell University. He earned his Ph.D. in Economics from the University of Wisconsin, Madison in 1973. From 1973 through 1977 he was an Assistant Professor at the University of Massachusetts, Amherst. He joined the faculty at Cornell University in 1978. He has had visiting appointments at the University of British Columbia and the University of California, Berkeley. He is co-author, with Colin Clark, of Natural Resource Economics: Notes and Problems, (Cambridge University Press, 1987), and sole author of Resource Economics, Second Edition (Cambridge University Press, 2010). He has published articles in the Journal of Political Economy, the Quarterly Journal of Economics, Resource and Energy Economics, Ecological Economics, Land Economics, and the Journal of Environmental Economics and Management. His research focuses on the application of methods for dynamic optimization to the management of natural resources.

Research Focus

Resource management might be viewed as an exercise in dynamic optimization; how best to use resources over time. I am interested in using mathematical models and methods of dynamic optimization to improve resource allocation.

Teaching Focus

Resource and environmental economics, applications of methods of dynamic optimization to resource and environmental management.

Awards and Honors

  • SUNY Chancellor's Award for Excellence in Teaching (2012) SUNY

Selected Publications

Journal Publications

Presentations and Activities

  • Differential Games in a Stochastic Fishery. Canadian Resource and Environmental Economics Study Group. September 2012. Vancouver, Canada.

Teaching