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A Theory of Policy Expertise

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  • Callander, Steven
Abstract
The role of expertise in policy making has been a focus of political science research in recent decades. Underlying formal models in this area is a conception of expertise that is very simple: expertise is a single piece of information. Combined with a condition on the set of possible processes, this simplicity implies that expertise is invertible . Thus, a single recommendation by an expert can render a layperson an expert. In this paper, I offer a broader representation of expertise and policy making that relaxes these features. To demonstrate that this generality matters to political behavior, I develop a simple model of delegation and show that imperfect invertibility of expertise provides a resolution of the commitment problem of legislative–bureaucratic policy making. The theory predicts that only issues of sufficient complexity can be delegated, consistent with anecdotal evidence.

Suggested Citation

  • Callander, Steven, 2008. "A Theory of Policy Expertise," Quarterly Journal of Political Science, now publishers, vol. 3(2), pages 123-140, July.
    • Handle: RePEc:now:jlqjps:100.00007024
    DOI: 10.1561/100.00007024
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    Citations

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    Cited by:

    1. T. Renee Bowen & George Georgiadis & Nicolas S. Lambert, 2019. "Collective Choice in Dynamic Public Good Provision," American Economic Journal: Microeconomics, American Economic Association, vol. 11(1), pages 243-298, February.
    2. Gary E Hollibaugh Jr, 2015. "Vacancies, vetting, and votes: A unified dynamic model of the appointments process," Journal of Theoretical Politics, , vol. 27(2), pages 206-236, April.
    3. Joshua A Strayhorn & Clifford J Carrubba & Micheal W Giles, 2016. "Time constraints and the opportunity costs of oversight," Journal of Theoretical Politics, , vol. 28(3), pages 431-460, July.
    4. Scott C. Ganz, 2020. "Hyperopic Search: Organizations Learning About Managers Learning About Strategies," Organization Science, INFORMS, vol. 31(4), pages 821-838, July.
    5. Steven Callander & Keith Krehbiel, 2014. "Gridlock and Delegation in a Changing World," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 819-834, October.
    6. Bowen, T. Renee & Georgiadis, George & Lambert, Nicolas S., 2015. "Collective Choice in Dynamic Public Good Provision: Real versus Formal Authority," Research Papers 3346, Stanford University, Graduate School of Business.
    7. Anand, Kartik & Gai, Prasanna & König, Philipp J., 2023. "Leaping into the dark: A model of policy gambles," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 457-476.
    8. Ian R Turner, 2017. "Working smart and hard? Agency effort, judicial review, and policy precision," Journal of Theoretical Politics, , vol. 29(1), pages 69-96, January.
    9. Vincent Anesi & Daniel J. Seidmann, 2009. "Optimal Delegation with a Finite Number of States," Discussion Papers 2009-20, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    10. Alan E Wiseman, 2013. "Information and political institutions," Journal of Theoretical Politics, , vol. 25(3), pages 301-308, July.
    11. 'Alvaro Delgado-Vega & Johannes Schneider, 2024. "Embracing the Enemy," Papers 2406.09734, arXiv.org, revised Oct 2024.
    12. Greg Sasso, 2020. "Delegation and political turnover," Journal of Theoretical Politics, , vol. 32(2), pages 262-288, April.
    13. Klajdi Hoxha, 2024. "Selling Correlated Information Products," Papers 2405.11142, arXiv.org.
    14. Shapiro, Jesse M., 2016. "Special interests and the media: Theory and an application to climate change," Journal of Public Economics, Elsevier, vol. 144(C), pages 91-108.
    15. Sasso, Greg & Morelli, Massimo, 2021. "Bureaucrats under Populism," Journal of Public Economics, Elsevier, vol. 202(C).
    16. David C. Chan, Jr & Michael J. Dickstein, 2018. "Industry Input in Policymaking: Evidence from Medicare," NBER Working Papers 24354, National Bureau of Economic Research, Inc.
    17. David Glick & C Daniel Myers, 2015. "Learning from others: an experimental test of Brownian motion uncertainty models," Journal of Theoretical Politics, , vol. 27(4), pages 588-612, October.
    18. Busuioc, E. M. & Lodge, Martin, 2017. "Reputation and accountability relationships: managing accountability expectations through reputation," LSE Research Online Documents on Economics 67152, London School of Economics and Political Science, LSE Library.
    19. Hirsch, Alexander V. & Shotts, Kenneth W., 2010. "Policy-Specific Information and Informal Agenda Power," Papers 9-14-2010, Princeton University, Research Program in Political Economy.

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