2008
DOI: 10.1016/j.jdeveco.2007.12.001
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The effect of reporting errors on the cross-country relationship between inequality and crime

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Cited by 24 publications
(40 citation statements)
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“…The inequality across religious groups is expected to become even larger during disasters, since poorer households are usually more vulnerable to disaster risks. As theoretically presented by Becker (1968) and Kornhauser (1978), and empirically tested by many researchers, economic inequality aggravates crime (Fajnzylber et al, 2002;Barslund et al, 2007;Gibson and Kim, 2008).…”
Section: Conceptual Frameworkmentioning
confidence: 86%
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“…The inequality across religious groups is expected to become even larger during disasters, since poorer households are usually more vulnerable to disaster risks. As theoretically presented by Becker (1968) and Kornhauser (1978), and empirically tested by many researchers, economic inequality aggravates crime (Fajnzylber et al, 2002;Barslund et al, 2007;Gibson and Kim, 2008).…”
Section: Conceptual Frameworkmentioning
confidence: 86%
“…However, since the data on crime incidence generally suffer from the under-reporting bias, this study rather uses the households' experience of crime victimisation, by following Gaviria and Pagés (2002), Barslund et al (2007), Gibson and Kim (2008), and Cameron and Shah (2014).…”
Section: Estimation Modelmentioning
confidence: 99%
“…In sum, it is hard to argue that unobserved state fixed effects have no correlation with the independent variables in the model and panel fixed effect estimates is the prudent method to pursue. Prior studies that utilize panel data generally employ fixed effects estimation instead of random effects (Buonanno and Montolio 2009; Cornwell and Trumbull 1994; Dahlberg and Gustavsson 2008; Doyle, Ahmed, and Horn 1999; Edmark 2005; Gibson and Kim 2008). Given the above, this study employs fixed effect panel estimation for all of the regression analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Hence, the reporting rate is not expected to be constant across countries, nor across time, but will depend on the country's changing characteristics (Gibson and Bonggeun Kim, ). As the reporting rate does not vary randomly across countries, ignoring this issue would result in biased estimates.…”
Section: Datamentioning
confidence: 99%