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Results for unit root tests of the time series, 2006–2012 

Results for unit root tests of the time series, 2006–2012 

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The purpose of this study is to examine gun buybacks as a policy response to gun-related crime. It improves upon past studies by examining a city that has used multiple gun buy-backs as a standard crime prevention approach, allowing the multiple intervention points to be assessed. Further, the study examined crime data over a longer period and incl...

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Context 1
... an ad hoc solution to prevent the loss of obser- vations. Table 2 indicates which series are seasonally adjusted. ...
Context 2
... the augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests, this study formally tested for unit roots in the time series to determine whether a variable is non-stationary (Cromwell, Labys, & Terraza, 1994;Koèenda & Èerny, 2007). As seen in Table 2, all of the dependent vari- ables are stationary and do not need to be differenced. In addition, this study exam- ined the patterns of serial correlation in the ACF and PACF, and identified the follow- ing ARIMIA models: ARIMA (1,0,0) for the seasonally adjusted total gun crime, ARIMA (0,0,0) for the gun homicide, ARIMA (0,0,0) for the seasonally adjusted gun robbery, and ARIMA (3,0,1) for the seasonally adjusted gun assault. ...

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... The unit of analysis is weekly incidence of shootings at the city level, presenting the number of incidents per week in Buffalo. In prior studies, crime counts, instead of crime rates, were used as an outcome measure given that population data were not available on a weekly or monthly basis (e.g., Kim, Phillips, & Wheeler, 2019;Loftin & McDowall, 1984;Loftin, McDowall, Wiersema, & Cottey, 1991;O'Carroll et al., 1991;Phillips, Kim, & Sobol, 2013;Piquero et al., 2020). ...
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