• Initiative -
  • Type Methodology paper
  • Date May 31, 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

Ben Wise

Visiting Researcher Ben Wise is a visiting research at KAPSARC. He supports the Policy Decision Sciences group as the main architect of… Ben Wise is a visiting research at KAPSARC. He supports the Policy Decision Sciences group as the main architect of the KAPSARC Toolkit for Behavior Analysis (KTAB). His research interests focus on the development of formal models of negotiation and their practical application to policy analysis. He began working with KAPSARC in 2014, after spending 25 years in various positions in corporate R&D or nonprofit research. Dr. Wise led many projects for research, consulting, policy analysis, doctrine development, and distributed training.

Expertise

  • Formals models of planning
  • Negotiation
  • Optimization
  • Trade
  • Finance

Publications See all Ben Wise’s publications

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 Dr. Brian Efird is the program director for Policy and Decision Science. He manages a multidisciplinary, multi-national team of researchers… Dr. Brian Efird is the program director for Policy and Decision Science. He manages a multidisciplinary, multi-national team of researchers who work on quantitative models of collective decision-making processes (CDMP), geospatial information system applications to energy economics and energy policy, demography and energy, and energy policy studies of countries in the Gulf Cooperation Council (GCC) region. Dr. Efird is co-editor-in-chief of a new journal from Springer Scientific called 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.

Expertise

  • Behavioral modeling
  • Geopolitics
  • Defense and national security studies
  • Human geography
  • Strategic communication

Publications See all Brian Efird’s publications

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