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DEEP-GREEN-RADAR
Dynamics, Economics, Econometrics, Policy, and Games:
Rigorous Environmental, Energy, Natural Resource, Agriculture, and Development Analysis and Research

Cornell University





We use cutting-edge methods and ideas in economics, econometrics, dynamic optimization, and game theory to rigorously analyze and address important issues facing individuals, households, firms, society, governments, countries, and the world. These frontier methods include dynamic structural econometric models, structural econometric models of dynamic games, dynamic programming, and optimal control theory.

In our research, we combine economic theory (including dynamic optimization and game theory) with statistical models to develop and estimate frontier structural econometric models of decision-making behavior. We use our structural econometric models to analyze how different 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 net benefits to society.

Our research is computationally intensive, analytically rigorous, and intellectually sophisticated. We work on projects that are technically sound, innovative, challenging, and that are of interest to academics, business practitioners, and policy-makers alike. We tackle a variety of issues, including those related to the environment, energy, natural resources, agriculture, development, and policy. We strive to understand and make a positive impact on the world.



We have developed dynamic structural econometric models to analyze and address important issues facing individuals, households, firms, society, governments, countries, and the world. These include the following:


Offshore petroleum production

  • Lin, C.-Y. Cynthia. (2013). Strategic decision-making with information and extraction externalities: A structural model of the multi-stage investment timing game in offshore petroleum production. Review of Economics and Statistics, 95 (5), 1601-1621.
    [Manuscript] [Published paper] [Appendix]

  • Government subsidies and mandates

  • Yi, Fujin, C.-Y. Cynthia Lin Lawell, and Karen E. Thome. (2018). The effects of subsidies and mandates: A dynamic model of the ethanol industry. Working paper, Cornell University.
    [Working paper]

  • Migration decisions

  • Rojas Valdés, Rubén Irvin, C.-Y. Cynthia Lin Lawell, and J. Edward Taylor. (2018). The dynamic migration game: A structural econometric model and application to rural Mexico. Working paper, Cornell University.
    [Working paper]

  • Crop disease control

  • Carroll, Christine L., Colin A. Carter, Rachael E. Goodhue, and C.-Y. Cynthia Lin Lawell. (2018). The economics of decision-making for crop disease control. Working paper, Cornell University.
    [Working paper]

  • World petroleum market

  • Kheiravar, Khaled H., C.-Y. Cynthia Lin Lawell, and Amy Myers Jaffe. (2018). A structural econometric model of the dynamic game between petroleum producers in the world petroleum market. Working paper, Cornell University.
    [Working paper]

  • Wind industry

  • Cook, Jonathan A., and C.-Y. Cynthia Lin Lawell. (2018). Wind turbine shutdowns and upgrades in Denmark: Timing decisions and the impact of government policy. Working paper, Cornell University.
    [Working paper]

  • Health in developing countries

  • Ma, Xiaochen, C.-Y. Cynthia Lin Lawell, and Scott Rozelle. (2018). Estimating peer effects: A structural econometric model using a field experiment of a health promotion program in rural China. Working paper, Cornell University.
    [Working paper]

  • Agricultural productivity

  • Carroll, Christine L., Colin A. Carter, Rachael E. Goodhue, and C.-Y. Cynthia Lin Lawell. (forthcoming). Crop disease and agricultural productivity: Evidence from a dynamic structural model of Verticillium wilt management. In Wolfram Schlenker (Ed.), Understanding Productivity Growth in Agriculture. Chicago: University of Chicago Press.
    [Manuscript (most recent)] [NBER working paper (June 2017)]

  • Climate change policy

  • Zakerinia, Saleh, and C.-Y. Cynthia Lin Lawell. (2018). Climate change policy: Dynamics, strategy, and the Kyoto Protocol. Working paper, Cornell University.
    [Working paper]

  • Pesticide spraying decisions

  • Sambucci, Olena, C.-Y. Cynthia Lin Lawell, and Travis J. Lybbert. (2018). The spraying decisions of grape growers in response to disease forecasting information: A dynamic structural econometric model. Working paper, Cornell University.
    [Working paper]

  • Ethanol industry

  • Yi, Fujin, C.-Y. Cynthia Lin Lawell, and Karen E. Thome. (2018). The effects of subsidies and mandates: A dynamic model of the ethanol industry. Working paper, Cornell University.
    [Working paper]
  • Thome, Karen E., and C.-Y. Cynthia Lin Lawell. (2018). Investment in corn-ethanol plants in the Midwestern United States. Working paper, Cornell University.
    [Working paper]
  • Yi, Fujin, and C.-Y. Cynthia Lin Lawell. (2018). What factors affect the decision to invest in a fuel ethanol plant?: A structural model of the ethanol investment timing game. Working paper, Cornell University.
    [Working paper]
  • Yi, Fujin, and C.-Y. Cynthia Lin Lawell. (2018). Ethanol plant investment in Canada: A structural model. Working paper, Cornell University.
    [Working paper]
  • Lin Lawell, C.-Y. Cynthia. (2017). Dynamic structural econometric modeling of the ethanol industry. In Alberto Adrego Pinto and David Zilberman (Eds.), Modelling, Dynamics, Optimization and Bioeconomics II (pp. 293-306). Springer Proceedings in Mathematics & Statistics.
    [Manuscript] [Publication]

  • Supply chain externalities

  • Carroll, Christine L., Colin A. Carter, Rachael E. Goodhue, and C.-Y. Cynthia Lin Lawell. (2018). Supply chain externalities and agricultural disease. Working paper, Cornell University.
    [Working paper]