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Financial Crises and the Selection and Survival of Women Finance Ministers

Published online by Cambridge University Press:  11 October 2023

BRENNA ARMSTRONG*
Affiliation:
Rice University, United States
TIFFANY D. BARNES*
Affiliation:
University of Kentucky, United States
DAINA CHIBA*
Affiliation:
University of Macau, China
DIANA Z. O’BRIEN*
Affiliation:
Washington University in St. Louis, United States
*
Brenna Armstrong, Visiting Assistant Professor, Department of Political Science, Rice University, United States, Brenna.Armstrong@rice.edu.
Tiffany D. Barnes, Professor, Department of Political Science, University of Kentucky, United States, tiffanydbarnes@uky.edu.
Daina Chiba, Associate Professor, Department of Government and Public Administration, University of Macau, China, dchiba@um.edu.mo.
Diana Z. O’Brien, Bela Kornitzer Distinguished Professor, Department of Political Science, Washington University in St. Louis, United States, dzobrien@wustl.edu.
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Abstract

Women remain underrepresented in cabinets, especially in high-prestige, “masculine” portfolios. Still, a growing number of states have appointed women to the finance ministry—a powerful position typically reserved for men. Drawing on the “glass cliff” phenomenon, we examine the relationship between financial crises and women’s ascension to, and survival in, this post. With an original dataset on appointments to finance ministries worldwide (1972–2017), we show that women are more likely to first come to power during a banking crisis. These results also hold for currency and inflation crises and even when accounting for the political and economic conditions that might otherwise explain this relationship. Subsequent examination of almost 3,000 finance ministers’ tenures shows that, once in office, crises shorten men’s (but not women’s) time in the post. Together, these results suggest that women can sometimes seize on crises as opportunities to access traditionally male-dominated positions.

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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 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Women Finance Ministers Across the Globe, 1972 to 2017Note: Figure 1 depicts the number of women who hold the finance ministry in each country between 1972 and 2017. The data were gathered from the CIA’s Directory of Chiefs of State and Cabinet Members of Foreign Governments, the Worldwide Guide to Women in Leadership, and WhoGov (Nyrup and Bramwell 2020).

Figure 1

Table 1. Banking Crisis and Women’s Initial Access to the Finance Ministry, 1972–2017

Figure 2

Figure 2. Effect of Banking Crisis on Women’s Initial Access to the Finance MinistryNote: This figure presents marginal effect estimates (along with 95% confidence intervals) from the five models shown in Table 1 of the main text. Marginal effects are shown in the hazard ratio—a ratio of the estimated hazard rate under crisis relative to the baseline no-crisis hazard rate. We can see that the hazard rate of women’s initial access to the finance ministry at least doubles under a banking crisis across all specifications.

Figure 3

Table 2. Risk of a Finance Minister Leaving Office, 1972–2017

Figure 4

Figure 3. Effect of Crisis on TenureNote: This figure illustrates the effect of banking crisis on minister tenure. It plots the estimated hazard ratios (along with 95% confidence intervals) from Model (1) and Model (5) in Table 2 of the main text. These hazard ratios compare the hazard rate during a banking crisis against the baseline scenario (no crisis).

Figure 5

Figure 4. Effect of Crisis on Tenure by GenderNote: This figure illustrates the effect of banking crisis on minister tenure by gender. It plots the estimated hazard ratios (along with 95% confidence intervals) from Model (6) in Table 2 of the main text. These hazard ratios compare the hazard rate under different scenarios against the baseline scenario (men under no crisis). For example, the hazard rate of leaving office is 1.41 times greater for men during a banking crisis compared with men during a noncrisis period. Estimates in gray indicate that the hazard ratio is statistically indistinguishable from 1.

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