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How to build models for government: criteria driving model acceptance in policymaking

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Listed:
  • Daniel Antony Kolkman

    (University of Surrey)

  • Paolo Campo

    (University of Surrey)

  • Tina Balke-Visser

    (University of Surrey)

  • Nigel Gilbert

    (University of Surrey)

Abstract

Models are used to inform policymaking and underpin large amounts of government expenditure. Several authors have observed a discrepancy between the actual and potential use of models in government. While there have been several studies investigating model acceptance in government, it remains unclear under what conditions models are accepted. In this paper, we address the question “What criteria affect model acceptance in policymaking?”, the answer to which will contribute to the wider understanding of model use in government. We employ a thematic coding approach to identify the acceptance criteria for the eight models in our sample. Subsequently, we compare our findings with existing literature and use qualitative comparative analysis to explore what configurations of the criteria are observed in instances of model acceptance. We conclude that model acceptance is affected by a combination of the model’s characteristics, the supporting infrastructure and organizational factors.

Suggested Citation

  • Daniel Antony Kolkman & Paolo Campo & Tina Balke-Visser & Nigel Gilbert, 2016. "How to build models for government: criteria driving model acceptance in policymaking," Policy Sciences, Springer;Society of Policy Sciences, vol. 49(4), pages 489-504, December.
    • Handle: RePEc:kap:policy:v:49:y:2016:i:4:d:10.1007_s11077-016-9250-4
    DOI: 10.1007/s11077-016-9250-4
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    References listed on IDEAS

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    1. Guido Vonk & Stan Geertman & Paul Schot, 2007. "A SWOT Analysis of Planning Support Systems," Environment and Planning A, , vol. 39(7), pages 1699-1714, July.
    2. Boulanger, Paul-Marie & Brechet, Thierry, 2005. "Models for policy-making in sustainable development: The state of the art and perspectives for research," Ecological Economics, Elsevier, vol. 55(3), pages 337-350, November.
    3. B Baesens & C Mues & D Martens & J Vanthienen, 2009. "50 years of data mining and OR: upcoming trends and challenges," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 16-23, May.
    4. Goodwin, Paul & Fildes, Robert & Lawrence, Michael & Nikolopoulos, Konstantinos, 2007. "The process of using a forecasting support system," International Journal of Forecasting, Elsevier, vol. 23(3), pages 391-404.
    5. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    6. Happe, Kathrin & Balmann, Alfons, 2008. "Doing Policy In The Lab! Options For The Future Use Of Model-Based Policy Analysis For Complex Decision-Making," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6588, European Association of Agricultural Economists.
    7. Måns Nilsson & Andrew Jordan & John Turnpenny & Julia Hertin & Björn Nykvist & Duncan Russel, 2008. "The use and non-use of policy appraisal tools in public policy making: an analysis of three European countries and the European Union," Policy Sciences, Springer;Society of Policy Sciences, vol. 41(4), pages 335-355, December.
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    Cited by:

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    3. Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018. "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv 8kvf4, Center for Open Science.
    4. Mitoko, Jeremiah, 2021. "Economics of Microcredit-From current crisis to new possibilities," MPRA Paper 108392, University Library of Munich, Germany.
    5. Kolkman, Daan, 2020. "The usefulness of algorithmic models in policy making," SocArXiv hpma8, Center for Open Science.

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