C.-Y. Cynthia Lin Lawell is an Associate Professor with a joint appointment in the Agricultural and University of California at Davis. Professor Lin Lawell is also the President of the U.S. Association for Energy Economics Bay Area Chapter. She has served on the California State Controllers Council of Economic Advisors …
C.-Y. Cynthia Lin Lawell is an Associate Professor with a joint appointment in the Agricultural and University of California at Davis.
Professor Lin Lawell is also the President of the U.S. Association for Energy Economics Bay Area Chapter. She has served on the California State Controllers Council of Economic Advisors and as the Fossil Fuels Tract Director of the Sustainable Transportation Energy Pathways Program of the UC-Davis Institute of Transportation Studies.
Professor Lin Lawell’s fields of interest are environmental and natural resource economics, energy economics, industrial organization, applied econometrics, and applied microeconomics. Among her current areas of research are the petroleum industry, renewable energy, natural resources, environmental regulation, and air quality. She has done consulting work related to renewable energy and to sustainability.
Professor Lin Lawell has received numerous awards for her research, including the International Society for New Institutional Economics Award for the Best Ph.D. Dissertation and the Harvard University Stone Fellow Award for Best Paper Written by a Doctoral Student in Environmental and Resource Policy. Her research has also been featured in such media outlets as the New York Times, the Washington Post, the Guardian, and Platt’s blog. In 2011, she was selected as a UC-Davis Hellman Fellow for promising young faculty who exhibit potential for great distinction in their research.
Professor Lin Lawell received her bachelor’s degree, summa cum laude, in Environmental Science and Public Policy from Harvard College in 2000 and her Ph.D. in Economics from Harvard University in 2006.
ARE/ESP 175 Natural Resource Economics
ARE/ESP 175 introduces students to the economics of renewable and nonrenewable natural resources. Topics covered include the valuation and use of land and water; fishery economics, management and regulation; extraction and management of nonrenewable resources such as minerals and energy resources; renewable and nonrenewable sources of energy; forest use; sustainability; and natural resource scarcity. Students will learn how to use dynamic models to analyze decision making over time. A solid background in calculus is required. Prerequisite: ARE 100B, Economics 100, or permission of instructor. GE credit: SocSci.
ARE 254 Dynamic Optimization Techniques with Economic Applications
The first half of ARE 254 covers analytical concepts and techniques of dynamic analysis, with a focus on optimal control theory as applied to economic problems. Topics covered include the maximum principle and the concepts of a stationary rate of return to capital and a stationary solution. Applicationsto nonrenewable resource extraction and optimal economic growth will be presented.
The second half of ARE 254 covers numerical methods for analyzing optimal control theory problems, analytic and numerical methods for solving dynamic programming problems, and numerical methods for solving stochastic dynamic programming problems, with a focus on such economic applications as nonrenewable resource extraction, optimal economic growth, investment under uncertainty, optimal stopping, optimal learning by experimentation, (S,s) policies, and q theory.
This course prepares you for courses that focus on decision making over time, including ARE 277 and
ARE 255 Applied Dynamic Structural Econometric Modeling
ARE 255 covers structural econometric models of static games of incomplete information, single-agent dynamic optimization problems and multi-agent dynamic games, with a focus on applications to issues relevant to the environment, energy, natural resources, agriculture, and development. The methods covered in the course enable one to analyze strategic and dynamic decision-making behavior by individuals and firms; to analyze how different institutions and policies (and changes in these institutions and policies) affect this behavior and its outcome; and to design institutions and policies so that the decision-making behavior and outcome that are realized increase social welfare. Prerequisites: Graduate-level microeconomics, econometrics and ARE 254, or permission of instructor.