• Initiative -
  • Type Methodology paper
  • Date 31st May 2017
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Abstract

The traditional economic approach to policy analysis is to utilize tools and methods developed within the field of economics and study the economic impact of one or more policies solely from an economic perspective. As a consequence, the “policies” are usually formulated and evaluated only by an assessment of the pure economic optimality of expected outcomes. Moreover, economic models typically treat policy choices as exogenously specified. Once policies are selected according to some exogenous process, then scenario analysis can be performed to simulate the economic impact of those policies.

Authors

Andrew Howe

Andrew Howe

Research Fellow Andrew Howe is a research fellow in KAPSARC’s Policy and Decision Science program. He is a seasoned quantitative modeler with… Andrew Howe is a research fellow in KAPSARC's Policy and Decision Science program. He is a seasoned quantitative modeler with expertise in the application of mathematics, statistics, and computer science to diverse practical problems in a variety of industries. Andrew’s experience in the energy sector spans both electric utilities and upstream oil and gas, and he is a certified energy risk professional. His current research interests at KAPSARC center around quantitative modeling of collective decision-making processes and big data machine learning for the utilities sector. In addition, Andrew is an active researcher in machine learning, having developed novel algorithms for topics including clustering, classification, simulation, and optimization.

Brian Efird

Program Director Brian Efird is the program director for Policy and Decision Science and a senior research fellow. He manages a multidisciplinary,… Brian Efird is the program director for Policy and Decision Science and a senior research fellow. He manages a multidisciplinary, multinational team of researchers whose global program of work focuses on the nexus between geopolitics, domestic and local politics, and energy. Fundamentally, the team examines the non-economic factors that impact energy markets and energy policy. This includes quantitative models of collective decision-making processes (CDMP), geospatial information system (GIS) applications, the energy policymaking process, and country-specific studies. Efird is managing editor of the journal Energy Transitions. He was previously a senior research fellow at the National Defense University in Washington, D.C.; a consultant on defense and international security matters in Washington; and a consultant applying quantitative models to support corporate, investment banking, and legal negotiations in New York. Efird received his M.A. in International Studies and Ph.D. in Political Science from Claremont Graduate University.

Expertise

  • Geopolitics of Energy
  • Behavioral Modeling
  • Defense and National Security Studies
  • Strategic Communication

Publications See all Brian Efird’s publications

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