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Gains from government crime-reducing programs are not always visible to the average citizen. The media overexpose crime events, but the absence of crime rarely makes the news, increasing the risk that citizen may have inaccurate perceptions of security. Through a survey experiment carried out in Bogota, Colombia, a city that experienced a substantial reduction in homicides over the last decade, as well as a noticeable drop in robberies, this paper tests the effect that communicating objective crime trends could have on such perceptions. The results show that information improves perceptions of safety and police effectiveness, and lowers distrust in the police. However, the information treatment is not able to impact those with biased priors, and tends to weaken over time. A more active and regular engagement with citizens regarding these trends is needed to bridge the gap between perception and reality.

AbstractAn influential literature argues that corruption behaves as a self‐fulfilling prophecy. Its central claim is that the individual returns to corruption are a function of the perceived corruptibility of the other members of society. Empirically, this implies that if one were to exogenously increase beliefs about societal levels of corruption, willingness to engage in corruption should also increase. We evaluate this implication by utilizing an information experiment embedded in a large‐scale household survey recently conducted in the Gran Área Metropolitana of Costa Rica. Changes in beliefs about corruption were induced via the random assignment of an informational display depicting the increasing percentage of Costa Ricans who have personally witnessed an act of corruption. Consistent with the self‐fulfilling prophecy hypothesis, we find that internalizing the information from the display on average increased the probability that a respondent would be willing to bribe a police officer by approximately .05 to .10.

Sensitive survey techniques (SSTs) are frequently used to study sensitive behaviors. However, existing strategies for employing SSTs lead to highly variable prevalence estimates and do not permit analysts to address the question of whether the use of an SST is actually necessary. The current article presents a survey questioning strategy and corresponding statistical framework that fills this gap. By jointly analyzing survey responses generated by an SST (the crosswise model) along with direct responses about the sensitive behavior, the article's framework addresses the question of whether the use of an SST is required to study a given sensitive behavior, provides an efficient estimate of the prevalence of the sensitive behavior, and, in its extended form, efficiently estimates how individual characteristics relate to the likelihood of engaging in the behavior. The utility of the approach is demonstrated through an examination of gender differences in proclivities towards corruption in Costa Rica.