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Advisers and Aggregation in Foreign Policy Decision Making

Published online by Cambridge University Press:  08 February 2024

Tyler Jost
Affiliation:
Department of Political Science, Brown University, Providence, RI, USA
Joshua D. Kertzer*
Affiliation:
Department of Government, Harvard University, Cambridge, MA, USA
Eric Min
Affiliation:
Department of Political Science, University of California, Los Angeles, CA, USA
Robert Schub
Affiliation:
Department of Political Science, Rutgers University, New Brunswick, NJ, USA
*
*Corresponding author. Email: jkertzer@gov.harvard.edu

Abstract

Do advisers affect foreign policy and, if so, how? Recent scholarship on elite decision making prioritizes leaders and the institutions that surround them, rather than the dispositions of advisers themselves. We argue that despite the hierarchical nature of foreign policy decision making, advisers’ predispositions regarding the use of force shape state behavior through the counsel advisers provide in deliberations. To test our argument, we introduce an original data set of 2,685 foreign policy deliberations between US presidents and their advisers from 1947 to 1988. Applying a novel machine learning approach to estimate the hawkishness of 1,134 Cold War–era foreign policy decision makers, we show that adviser-level hawkishness affects both the counsel that advisers provide in deliberations and the decisions leaders make: conflictual policy choices grow more likely as hawks increasingly dominate the debate, even when accounting for leader dispositions. The theory and findings enrich our understanding of international conflict by demonstrating how advisers’ dispositions, which aggregate through the counsel advisers provide, systematically shape foreign policy behavior.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of The IO Foundation
Figure 0

FIGURE 1. Three models of aggregation in groups

Figure 1

FIGURE 2. Data set construction

Figure 2

FIGURE 3. Predicted hawkishness measures for senior US decision makers

Figure 3

FIGURE 4. Average speaker hawkishness in US foreign policy meetings

Figure 4

FIGURE 5. Leader search for counsel during meetings

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TABLE 1. Sample of hawkish and dovish terms

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FIGURE 6. Effect of adviser hawkishness on topic proportions during meetings

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TABLE 2. Decisions regarding adversaries, by administration

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TABLE 3. Effect of participant hawkishness on foreign policy decisions

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FIGURE 7. Summary of the results of three models of trait aggregation

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TABLE 4. Predicted number of conflictual decisions toward adversaries

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TABLE 5. Effect of National Security Council principals’ hawkishness on militarized interstate disputes (MIDs), using monthly data

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Jost_et_al._Dataset

Dataset

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