Crime Distribution & Victim Behavior During a Crime Wave

The study of how crime affects different income groups faces several difficulties. The first is that crime-avoiding activities vary across income groups. Thus, a lower victimization rate in one group may not reflect a lower burden of crime, but rather a higher investment in avoiding crime. A second difficulty is that, typically, only a small fraction of the population is victimized so that empirical tests often lack the statistical power to detect differences across groups. We take advantage of a dramatic increase in crime rates in Argentina during the late 1990s to document several interesting patterns. First, the increase in victimization experienced by the poor is larger than the increase endured by the rich. The difference appears large: low-income people have experienced increases in victimization rates that are almost 50 percent higher than those suffered by high-income people. Second, for home robberies, where the rich can protect themselves (by hiring private security, for example), we find significantly larger increases in victimization rates amongst the poor. In contrast, for robberies on the street, where the rich can only mimic the poor, we find similar increases in victimization for both income groups. Third, we document direct evidence on pecuniary and non-pecuniary protection activities by both the rich and poor, ranging from the avoidance of dark places to the hiring of private security. Fourth, we show the correlations between changes in protection and mimicking and changes in crime victimization. Fifth, we offer one possible way of using these estimates to explain the incidence of crime across income groups.http://deepblue.lib.umich.edu/bitstream/2027.42/57229/1/wp849 .pd

Crime Distribution & Victim Behavior During a Crime Wave

The study of how crime affects different income groups faces several difficulties. The first is that crime-avoiding activities vary across income groups. Thus, a lower victimization rate in one group may not reflect a lower burden of crime, but rather a higher investment in avoiding crime. A second difficulty is that, typically, only a small fraction of the population is victimized so that empirical tests often lack the statistical power to detect differences across groups. We take advantage of a dramatic increase in crime rates in Argentina during the late 1990s to document several interesting patterns. First, the increase in victimization experienced by the poor is larger than the increase endured by the rich. The difference appears large: low-income people have experienced increases in victimization rates that are almost 50 percent higher than those suffered by high-income people. Second, for home robberies, where the rich can protect themselves (by hiring private security, for example), we find significantly larger increases in victimization rates amongst the poor. In contrast, for robberies on the street, where the rich can only mimic the poor, we find similar increases in victimization for both income groups. Third, we document direct evidence on pecuniary and non-pecuniary protection activities by both the rich and poor, ranging from the avoidance of dark places to the hiring of private security. Fourth, we show the correlations between changes in protection and mimicking and changes in crime victimization. Fifth, we offer one possible way of using these estimates to explain the incidence of crime across income groups.Victimization, income distribution, private security, victim adaptation

Crime Distribution and Victim Behavior during a Crime Wave

The study of how crime affects different income groups faces several difficulties. The first is that crime-avoiding activities vary across income groups. Thus, a lower victimization rate in one group may not reflect a lower burden of crime, but rather a higher investment in avoiding crime. A second difficulty is that, typically, only a small fraction of the population is victimized so that empirical tests often lack the statistical power to detect differences across groups. We take advantage of a dramatic increase in crime rates in Argentina during the late 1990s to document several interesting patterns. First, the increase in victimization experienced by the poor is larger than the increase endured by the rich. The difference appears large: low-income people have experienced increases in victimization rates that are almost 50 percent higher than those suffered by high-income people. Second, for home robberies, where the rich can protect themselves (by hiring private security, for example), we find significantly larger increases in victimization rates amongst the poor. In contrast, for robberies on the street, where the rich can only mimic the poor, we find similar increases in victimization for both income groups. Third, we document direct evidence on pecuniary and non-pecuniary protection activities by both the rich and poor, ranging from the avoidance of dark places to the hiring of private security. Fourth, we show the correlations between changes in protection and mimicking and changes in crime victimization. Fifth, we offer one possible way of using these estimates to explain the incidence of crime across income groups.Victimization, income distribution, private security, victim adaptation.

Análisis de la intención de realizar comercio social en webs con herramientas sociales

El comercio social, o comercio a través de los medios sociales (también conocido como social commerce) es una de las modalidades de comercio electrónico con mayor potencial de crecimiento. Sin embargo, su estudio aún es limitado, por lo que las dinámicas y elementos que afectan a la intención de realizar comercio social requieren de una mayor investigación. La bibliografía existente principalmente analiza la intención de los usuarios de practicar comercio social en una red social, pero no en una web de comercio electrónico que tenga sus propias herramientas sociales (p. ej. foros, valoraciones de productos, etc.). Por lo tanto, la presente investigación tiene como objetivo identificar los antecedentes de la intención de comercio social en webs de comercio electrónico en las que se emplean herramientas sociales. A partir de la revisión de la literatura, se desarrolla un modelo para analizar la influencia de cinco posibles antecedentes de la intención de comercio social: calidad de la web, apoyo social emocional, apoyo social informativo, presencia social e inmersión o flow. Para ello, se realizó un estudio empírico entre los usuarios de una web de comercio electrónico que cuenta con un sistema de valoración, comentarios de productos y foros. Los datos se obtuvieron a partir de una encuesta realizada a 200 compradores, y fueron analizados mediante la técnica PLS. Los resultados indican que los elementos más racionales y emocionales de la experiencia del usuario, como son la calidad del sitio web, flow y el apoyo social emocional, son los que motivan la compra; mientras que la presencia social y el apoyo social informativo, no son significativos. Este estudio contribuye a la teoría del comportamiento del consumidor al aplicar variables predictivas de la intención de comercio social a webs con herramientas sociales. Además, los resultados ayudan a los profesionales del comercio electrónico a mejorar el uso que hacen de las herramientas sociales.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Nonlocal Teleparallel Cosmology

Even though it is not possible to differentiate General Relativity from Teleparallel Gravity using classical experiments, it could be possible to discriminate between them by quantum gravitational effects. These effects have motivated the introduction of nonlocal deformations of General Relativity, and similar effects are also expected to occur in Teleparallel Gravity. Here, we study nonlocal deformations of Teleparallel Gravity along with its cosmological solutions. We observe that Nonlocal Teleparallel Gravity (like nonlocal General Relativity) is consistent with the present cosmological data obtained by SNe Ia + BAO + CC + $H_0$ observations. Along this track, future experiments probing nonlocal effects could be used to test whether General Relativity or Teleparallel Gravity give the most consistent picture of gravitational interaction.Comment: Accepted for publication in EPJC. Some small changes and references adde

Destination Image on the DMO's Platforms: Official Website and Social Media

Tourists usually configure and develop ideas about possible destinations based on information previously gathered from both social media and the official web of the destination management organization (DMO). In spite of the relevance of said information sources, there have not been many studies evaluating how these different sources influence the destination image. This research proposes a model intended to explain the image creation process of a destination taking into account both the DMO’s online platforms and the perceived psychological distance. The proposed model is tested with an empirical study including a questionnaire which collects data from 264 participants. The validity of the model is reviewed through PLS analysis. Results show that the psychological distance does not influence the overall destination image. In addition, the overall destination image can be estimated to a larger extent when tourists approach social media as their main source of information. Implications and conclusions are discussed.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Tourists behavior during their trip: How they use and offer recommendations?

The rise of new technologies has changed the way tourists trust in eWOM to choose a restaurant. There is a growing use of opinion and price comparison websites, where opinions and ratings can be shared with other users. In addition, the spreading of false or paid comments has made this type of webs seek the generation and maintenance of trust. However, there are few studies that analyse how to generate trust in these webs and its effect in the intention of the consumer to participate in WOM behaviours, once the tourist is already in its tourist destination. Therefore, this research analyses the influence of recommendations on the generation of tourists’ trust in the review websites of restaurant industry while they are in the destination. A regression analysis of data from 439 tourists has revealed that the perceived credibility, the quality of the information and the quality of the web affect trust in review websites. This fact encourages the contracting of restaurant services and communication among consumers, both in a traditional way (WOM) and through the review websites (eWOM), while the tourist is in the tourism destination.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech