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Men, Muslims, and Attitudes toward Gender Inequality

Published online by Cambridge University Press:  12 January 2016

Danielle N. Lussier*
Affiliation:
Grinnell College
M. Steven Fish*
Affiliation:
University of California, Berkeley
*
Address correspondence and reprint requests to: Danielle N. Lussier, Grinnell College, 308 Carnegie Hall, Grinnell, IA 50112. E-mail: lussierd@grinnell.edu; or to: M. Steven Fish, University of California, Berkeley, Charles and Louise Travers Department of Political Science, 210 Barrows Hall #1950, Berkeley, CA 94720-1950x. E-mail: sfish@berkeley.edu.
Address correspondence and reprint requests to: Danielle N. Lussier, Grinnell College, 308 Carnegie Hall, Grinnell, IA 50112. E-mail: lussierd@grinnell.edu; or to: M. Steven Fish, University of California, Berkeley, Charles and Louise Travers Department of Political Science, 210 Barrows Hall #1950, Berkeley, CA 94720-1950x. E-mail: sfish@berkeley.edu.
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Abstract

Gender-based inequality is often regarded as a salient characteristic of Muslim societies, yet few works have systematically compared the status of women in Muslim and non-Muslim communities. Fish (2011) finds a gender gap in structural indicators of inequality in Muslim-majority countries that cannot be explained by levels of economic development, raising questions about whether attitudes favoring inequality are more prominent among Muslims. We investigate the impact of structural-situational factors and religious identification on attitudes toward gender-based inequality using hierarchical-level models. We find that: (1) Muslim self-identification and the size of a country's Muslim population predict attitudes supportive of inequality; (2) an individual's gender has a stronger effect on attitudes than does religious identification; and (3) measures of structural inequality also shape attitudes. The effects of these variables remain strong when we consider other contextual elements, such as gross domestic product per capita, education, age, location in the Middle East, and fuels dependence.

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Articles
Copyright
Copyright © Religion and Politics Section of the American Political Science Association 2016 
Figure 0

Table 1. Mean scores on indicators of attitudes toward gender inequality for Muslims and non-Muslims

Figure 1

Table 2. HGLM analysis of statement: “when jobs are scarce, men should have more right to a job than women” (1 = agree, 0 = neither agree or disagree/disagree)

Figure 2

Figure 1. Predicted probabilities of “agreeing” that, “When jobs are scarce, men should have more right to a job than women” (Model 10 from Table 2).

Figure 3

Table 3. HGLM analysis of the statement: “on the whole, men make better political leaders than women do” (1 = “agree” or “strongly agree,” 0 = “disagree” or “strongly disagree”)

Figure 4

Figure 2. Predicted probabilities of “agreeing” or “strongly agreeing” that, “On the whole, men make better political leaders than women do” (Model 10 from Table 3).

Figure 5

Table 4. Summary of variables that predict agreement with statements supporting gender inequality