A prevailing view stresses the destructive effects of conflict-related sexual violence (CRSV) on communities. An alternative perspective emphasizes survivor agency: survivors may try to counteract stigma by contributing to communal life. The analysis tests whether experiences of CRSV increase civic engagement and whether that mobilization alters gender gaps or harms intergroup relations.
Taxpayers often hide true income because admitting evasion is socially undesirable, so identifying noncompliance is difficult. This study uses a list experiment to reduce social desirability bias and uncover who is most likely to underreport income on tax returns.
This study investigates how political control over bureaucrats affects corruption levels.
This study asks how international intervention affects the rule of law after civil war in Liberia. Rule of law is defined to require both that state authorities obey legal limits and that citizens rely on state laws and institutions to resolve disputes.
Measurement error undermines survey validity, particularly for sensitive questions. List experiments reduce deliberate misreporting but remain vulnerable to nonstrategic measurement error from poor implementation and respondent inattention. Such error violates the assumptions of the standard maximum likelihood regression (MLreg) estimator and can produce misleading inferences—especially when the sensitive trait is rare.
This study examines white college students' attitudes toward race-based affirmative action in Brazil, asking whether those attitudes stem from prejudice, intergroup conflict, or individual political predispositions. An indirect questioning technique is used to reduce social desirability bias and produce a more accurate portrait of opinions about quota policies at the Federal University of Santa Catarina (UFSC).
Studying sensitive issues like corruption or sexual behavior is tough. Direct survey questions often lead to underreporting or nonresponse.
Sensitive survey answers are hard to study because truthful responses cannot be directly observed when some people misreport. This paper introduces a statistical solution that makes it possible to identify respondents who give one answer inside a list experiment but reply differently when asked the same question directly.