IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/3305690.html
   My bibliography  Save this paper

Crime and Divorce. Can one Lead to the other? Using Multilevel Mixed Models

Author

Listed:
  • Faisal Khamis Al-Shamari

    (Al-Ain University of Science and Technology)

Abstract

Cross-sectional and time-series studies of the influence of divorce on crime and the opposite are few in both developing and developed countries. Question is raised whether the divorce causes the crime, the opposite, or both effects are exist in Jordan.The objectives are: Investigating the causal direction of the relationship between the divorce and crime, determining whether the clustering in the divorce and crime within-governorates is exist, and whether the divorce and crime are increased or decreased over time? The study design was cross-sectional time-series analysis. The data of 12 governorates over 14 years (2000-2013) were obtained from several Jordanian Statistical Yearbooks and surveys issued by the Jordanian Statistics Department. The divorce rate (DR) and the crime rate (CR) were calculated. Multilevel mixed-effects linear regression was carried out. Three models for each of divorce and crime were estimated. Comparison between these models was explained in terms of the intra-class correlation (ICC), the proportional change in the variance of the response variable, and the deviance. The p

Suggested Citation

  • Faisal Khamis Al-Shamari, 2016. "Crime and Divorce. Can one Lead to the other? Using Multilevel Mixed Models," Proceedings of International Academic Conferences 3305690, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:3305690
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/21st-international-academic-conference-miami/table-of-content/detail?cid=33&iid=041&rid=5690
    File Function: First version, 2016
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Multilevel modeling; Divorce; Crime; Time; Governorate; and Intra-class correlation;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sek:iacpro:3305690. 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: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    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.