IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/de9nc_v1.html
   My bibliography  Save this paper

Property Crime during the COVID-19 Pandemic: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia

Author

Listed:
  • Payne, Jason Leslie

    (Australian National University)

  • Morgan, Anthony

Abstract

At the time of writing, there was 3.4 million confirmed cases of COVID-19 and more than 300,000 deaths worldwide. Not since the Spanish Flu in 1918 has the world experienced such a widespread pandemic and this has motivated many countries across globe to take unprecedented actions in an effort to curb the spread and impact of the SARS-CoV-2 virus. Among these government and regulatory interventions includes stringent domestic and international travel restrictions as well as a raft of stay-at-home and social distancing regulations. The scale of these containment measures has left criminologists wondering what impact this will have on crime in both the short- and long-term. In this study, we examine officially recorded property crime rates for March, 2020, as reported for the state of Queensland, Australia. We use ARIMA modeling techniques to compute six-month-ahead forecasts of property damage, shop theft, other theft, burglary, fraud, and motor vehicle theft rates and then compare these forecasts (and their 95% confidence intervals) with the observed data for March 2020. We conclude that the observed rates of reported property offending across Queensland were significantly lower than expected for shop theft, other theft and credit-card fraud but statistically unchanged for property damage, burglary, and motor-vehicle theft.

Suggested Citation

  • Payne, Jason Leslie & Morgan, Anthony, 2020. "Property Crime during the COVID-19 Pandemic: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia," SocArXiv de9nc_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:de9nc_v1
    DOI: 10.31219/osf.io/de9nc_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/5eb5546ba2199501035da41a/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/de9nc_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:de9nc_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.