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Dynamic Modeling of Policy Networks in Amsterdam

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  • Frans N. Stokman
  • Jaco Berveling

Abstract

This article evaluates two competing dynamic policy-network models and one static network model by applying them to local politics in Amsterdam. In the dynamic models an influence relation results from the acceptance of an influence request. The first model, Control Maximization, represents the view that politics are primarily power driven, and the second, Policy Maximization, policy driven. In the static model (the Two-Stage), network relations are empirically investigated as in other policy-network models and used as a benchmark for evaluating the dynamic models. Policy Maximization is shown to be the most accurate predictor of decision outcomes, better even than the static model, and to generate richer networks. However, both dynamic models generate networks that are too hierarchical.

Suggested Citation

  • Frans N. Stokman & Jaco Berveling, 1998. "Dynamic Modeling of Policy Networks in Amsterdam," Journal of Theoretical Politics, , vol. 10(4), pages 577-601, October.
    • Handle: RePEc:sae:jothpo:v:10:y:1998:i:4:p:577-601
    DOI: 10.1177/0951692898010004009
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    References listed on IDEAS

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    1. Bueno de Mesquita, Bruce & Lalman, David, 1986. "Reason and War," American Political Science Review, Cambridge University Press, vol. 80(4), pages 1113-1129, December.
    2. Bachrach, Peter & Baratz, Morton S., 1962. "Two Faces of Power1," American Political Science Review, Cambridge University Press, vol. 56(4), pages 947-952, December.
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    Cited by:

    1. Lovrić, Marko & Lovrić, Nataša & Schraml, Ulrich, 2019. "Modeling policy networks: The case of Natura 2000 in Croatian forestry," Forest Policy and Economics, Elsevier, vol. 103(C), pages 90-102.

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