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The Impact of Leadership Turnover on Trading Relations Between States

Published online by Cambridge University Press:  01 July 2004

Fiona McGillivray
Affiliation:
Fiona McGillivray is Assistant Professor of Politics at New York University, New York City. She can be reached at fiona.mcgillivray@nyu.edu.
Alastair Smith
Affiliation:
Alastair Smith is Associate Professor of Politics at New York University, New York City. He can be reached at alastair.smith@nyu.edu.
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Abstract

We test how domestic political institutions moderate the effect of leadership turnover on relations between states. Deriving hypotheses from recent theoretical work, Bueno de Mesquita et al. and McGillivray and Smith, we examine how leader change affects trading relations between states using dyadic trade data. Consistent with hypotheses, we find that large winning coalition systems, such as democracies, are relatively immune from the vagaries of leadership change. In such systems, trade remains relatively constant whether leader change occurs or not. In contrast, when winning coalition size is small, as in autocratic states, leadership change profoundly alters relations, causing a decline in trade. Finally, we examine instances of poor relations, measured by a significant decline in trade compared to historical levels. As predicted, instances of poor relations are less common between pairs of democracies than other dyadic pairings. Further, leadership turnover in autocratic systems restores trading relations between states. The effect of leadership change in democracies is much less pronounced.An earlier version of this article was prepared for the 2002 Peace Science Society meeting in Tucson, Arizona. We gratefully acknowledge the financial support of the National Science Foundation, SES-0226926. We thank John Oneal and Bruce Russett for generously making their data available to us. We thank audiences at New York University, the University of Rochester, Yale University, and several anonymous reviewers for their helpful comments.

Type
Research Article
Copyright
© 2004 The IO Foundation and Cambridge University Press

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