An interrupted time series analysis of the differential impact of New Jersey’s BAC legislation on driver and passenger crash fatalities

Mandated societal lockdown and road traffic accidents

“…Statewide Traffic Accident Records System only archives last 12-month data and therefore a comparison with corresponding months in 2019 was not possible. The lack of corresponding data precluded us from assessing nonstationary or secular trends ( Al-Ghamdi, 1995 ; Chamlin, 2016 ). Since the data only provides daily number of road traffic accident records, therefore, the event rate per miles driven could not be computed.…”

ARTICLE: #Black Lives Matter? Analyzing the Effects of Police-Caused Black Deaths on Media Coverage and Public Interest in the Movement

“…Although the dramatic increase in news mentions in July 2016 is visually apparent, we also present the results of a simple, single-group interrupted time series model to demonstrate that this change in the number of news mentions of Black Lives Matter was a statistically significant departure from the amount of prior news coverage. Several different approaches can be used to examine the effect of a specific interruption on a given trend, but the interrupted time series model is widely accepted as one of the strongest quasiexperimental approaches for identifying the short-and long-term effects of interventions (Bernal, Cummins, & Gasparrini, 2017;Cook, Campbell, & Day, 1979;Wagner, Soumerai, Zhang, & Ross-Degnan, 2002) and has been used in the criminological literature (Chamlin, 2017;Koslicki, 2017;Vásquez, Maddan, & Walker, 2008). Here, we make use of the segmented regression approach to interrupted time series modeling described by Linden (2015), which uses the following formula:…”

Highs and Lows: An Interrupted Time-Series Evaluation of the Impact of North America’s Only Supervised Injection Facility on Crime

“…Moreover, total crimes and property crimes for District 4 required first-and fourth-order autoregressive processes, along with first-order differencing and moving average parameters. While the estimation of multiple nonhierarchical models is uncommon, it is not without precedent (see Chamlin, 2016;Chamlin, Burek, & Cochran, 2007;Land, Teske, & Zheng, 2009). With all 15 series achieving a statistically adequate white noise process, the next step is to estimate the zero-order transfer functions.…”