A Bayesian Reversible Jump Piecewise Hazard approach for modelling rate changes in mass shootings

Andrew Chapple ()

EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels

Abstract: Time to event data for econometric tragedies, like mass shootings, have largely been ignored from a changepoint analysis standpoint. We outline a technique for modelling economic changepoint problems using a piece- wise constant hazard model to explain different economic phenomenon. Specifically, we investigate the rates of mass shootings in the United States since August 20th 1982 as a case study to examine changes in rates of these terrible events in an attempt to connect changes to the shooter’s covariates or policy and societal changes.

Keywords: Time-to-event Data; Bayesian Analyses; Piecewise Exponential; Reversible Jump; Mass Shooting. (search for similar items in EconPapers)
JEL-codes: C11 C22 (search for similar items in EconPapers)
Date: 2016-11-24
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)

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Journal Article: A Bayesian Reversible Jump Piecewise Hazard approach for modeling rate changes in mass shootings (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:eei:rpaper:eeri_rp_2016_24

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