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Strategic use of evidence in state-level policymaking: matching evidence type to legislative stage

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  • Jennifer E. Mosley

    (University of Chicago)

  • Katherine Gibson

    (University of Chicago)

Abstract

Although interest in research utilization in the policy process has grown, how advocates strategically deploy different types of evidence to influence lawmakers remains not well understood. In this paper, we draw on the Advocacy Coalition Framework and the Narrative Policy Framework to show how various types of evidence—from empirical findings to personal anecdotes—were utilized by advocates during the 2 years leading to the passage of California’s historic 2010 law to extend foster care. The result was a generous and flexible entitlement policy passed with bipartisan support in the context of a recession, a state budget deficit, and an ambivalent governor. We find that leaders of a diverse advocacy coalition strategically showcased different types of evidence at specific moments in the legislative process. Each evidence type can be tied to a specific narrative element and strategy. Advocates first used research evidence to convince lawmakers of the policy’s effectiveness, then used professional expertise and benefit-cost analysis to convince them it would come at an acceptable cost, and finally used personal narratives to motivate them to act. We conclude that though benefit-cost analyses play an integral role in policymaking during a time of austerity, advocacy coalitions may still benefit from personal stories that lend emotional potency and urgency.

Suggested Citation

  • Jennifer E. Mosley & Katherine Gibson, 2017. "Strategic use of evidence in state-level policymaking: matching evidence type to legislative stage," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(4), pages 697-719, December.
  • Handle: RePEc:kap:policy:v:50:y:2017:i:4:d:10.1007_s11077-017-9289-x
    DOI: 10.1007/s11077-017-9289-x
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    References listed on IDEAS

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    1. Schneider, Anne & Ingram, Helen, 1993. "Social Construction of Target Populations: Implications for Politics and Policy," American Political Science Review, Cambridge University Press, vol. 87(2), pages 334-347, June.
    2. Justin O. Parkhurst, 2016. "Appeals to evidence for the resolution of wicked problems: the origins and mechanisms of evidentiary bias," Policy Sciences, Springer;Society of Policy Sciences, vol. 49(4), pages 373-393, December.
    3. Hall, Richard L. & Deardorff, Alan V., 2006. "Lobbying as Legislative Subsidy," American Political Science Review, Cambridge University Press, vol. 100(1), pages 69-84, February.
    4. Erik Baekkeskov, 2016. "Explaining science-led policy-making: pandemic deaths, epistemic deliberation and ideational trajectories," Policy Sciences, Springer;Society of Policy Sciences, vol. 49(4), pages 395-419, December.
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    Cited by:

    1. Jesper Dahl Kelstrup & Jonas Videbæk Jørgensen, 2024. "Explaining differences in research utilization in evidence-based government ministries," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(2), pages 257-280, June.
    2. Julieta Lugo-Gil & Dana Jean-Baptiste & Livia Frasso Jaramillo, "undated". "Use of Evidence to Drive Decision-Making in Government," Mathematica Policy Research Reports b84e939e19cf4e058572a738a, Mathematica Policy Research.
    3. Yongjin Choi & Ashley M. Fox & Jennifer Dodge, 2022. "What counts? Policy evidence in public hearing testimonies: the case of single-payer healthcare in New York State," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(4), pages 631-660, December.

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