Angry or Weary? How Violence Impacts Attitudes toward Peace among Darfurian Refugees

Hazlett, Chad

doi:10.1177/0022002719879217

Cited by 40 publications

(39 citation statements)

References 52 publications

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“…In this section we briefly introduce the applied example that is used throughout the paper. (We describe only the most relevant details; further information is available in Hazlett (2019).) This serves as a background to illustrate how the tools that are developed here can be applied to address problems that commonly arise in observational research.…”

Section: Running Examplementioning

confidence: 99%

Making Sense of Sensitivity: Extending Omitted Variable Bias

Cinelli

Hazlett

2019

Journal of the Royal Statistical Society Series B: Statistical Methodology

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565

366

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Summary We extend the omitted variable bias framework with a suite of tools for sensitivity analysis in regression models that does not require assumptions on the functional form of the treatment assignment mechanism nor on the distribution of the unobserved confounders, naturally handles multiple confounders, possibly acting non‐linearly, exploits expert knowledge to bound sensitivity parameters and can be easily computed by using only standard regression results. In particular, we introduce two novel sensitivity measures suited for routine reporting. The robustness value describes the minimum strength of association that unobserved confounding would need to have, both with the treatment and with the outcome, to change the research conclusions. The partial R2 of the treatment with the outcome shows how strongly confounders explaining all the residual outcome variation would have to be associated with the treatment to eliminate the estimated effect. Next, we offer graphical tools for elaborating on problematic confounders, examining the sensitivity of point estimates and t‐values, as well as ‘extreme scenarios’. Finally, we describe problems with a common ‘benchmarking’ practice and introduce a novel procedure to bound the strength of confounders formally on the basis of a comparison with observed covariates. We apply these methods to a running example that estimates the effect of exposure to violence on attitudes toward peace.

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Section: Running Examplementioning

confidence: 99%

Making Sense of Sensitivity: Extending Omitted Variable Bias

Cinelli

Hazlett

2019

Journal of the Royal Statistical Society Series B: Statistical Methodology

Self Cite

565

366

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“…In stark contrast, other studies have found that violence exposure can spur pro-peace attitudes. For example, Hazlett (2020) found that refugees from Darfur who were directly affected by the wave of violence in the early 2000s were less supportive of harsher punishment and more likely to believe that peace was possible. Still other studies have yielded mixed results.…”

Section: Exposure To Violence and Attitudes Toward Peacementioning

confidence: 99%

Who Shot the Bullets? Exposure to Violence and Attitudes Toward Peace: Evidence from the 2016 Colombian Referendum

Seguer¹,

Masullo²

2020

Lat Am Polit Soc

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Does exposure to violence affect attitudes toward peace? Civilians living in war zones see peace agreements as an opportunity to improve their security prospects. However, in multiparty conflicts, this does not automatically translate into support for peace. Support hinges on the interplay between which faction has victimized civilians in the past and which faction is sitting at the negotiation table. If civilians have been victimized by the group that is involved in the peace agreement, they will be likely to support peace. On the contrary, if they have been victimized by another faction, they will be likely to refrain from supporting peace if they believe that this can trigger retaliatory violence against them. This article explores this argument empirically in the context of the 2016 peace agreement between the Colombian government and the FARC; both quantitative and qualitative data yield support to the study’s theoretical expectations.

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“… 12 In a related finding, Hazlett (2015) finds that South Sudanese refugees who had been victimized by violence are more optimistic about the prospect of making peace with their enemies and less likely to believe they should be executed.…”

mentioning

confidence: 99%

Violence, Empathy and Altruism: Evidence from the Ivorian Refugee Crisis in Liberia

Hartman¹,

Morse²

2018

Brit. J. Polit. Sci.

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In regions plagued by reoccurring periods of war, violence and displacement, how does past exposure to violence affect altruism toward members of different ethnic or religious groups? Drawing on theories of empathy-driven altruism in psychology, this article proposes that violence can increase individuals’ capacity to empathize with others, and that empathy born of violence can in turn motivate helping behavior across group boundaries. This hypothesis is tested using data on the hosting behavior of roughly 1,500 Liberians during the 2010–11 Ivorian refugee crisis in eastern Liberia, a region with a long history of cross-border, inter-ethnic violence. Consistent with its theoretical predictions, the study finds that those who experienced violence during the Liberian civil war host greater numbers of refugees, exhibit stronger preferences for distressed refugees and less bias against outgroup refugees, and host a higher proportion of non-coethnic, non-coreligious and distressed refugees. These findings suggest that violence does not necessarily lead to greater antagonism toward outgroups, as is often assumed, and that in some circumstances it can actually promote inter-group co-operation.

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Angry or Weary? How Violence Impacts Attitudes toward Peace among Darfurian Refugees

Cited by 40 publications

References 52 publications

Making Sense of Sensitivity: Extending Omitted Variable Bias

Making Sense of Sensitivity: Extending Omitted Variable Bias

Who Shot the Bullets? Exposure to Violence and Attitudes Toward Peace: Evidence from the 2016 Colombian Referendum

Violence, Empathy and Altruism: Evidence from the Ivorian Refugee Crisis in Liberia

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