IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/aq2et_v1.html

Missing Victims, Hidden Crimes: Improving Estimates of Honor Killings Using Missing Data Imputation

Author

Listed:
  • Leonard, Mariel
  • Koenig, Teresa

Abstract

Very little accurate data on the incidence and prevalence of honor killings exists. While some countries have made strides to identify and track cases on an ongoing basis, many countries either have no official statistics or rely on outdated data and imprecise methodologies. More accurate and up-to-date statistics are needed to better direct resources, identify cases and behaviors for study and intervention, and reduce biases. Unfortunately, measuring honor killings is methodologically difficult. However, while single lists of honor killings cannot accurately estimate the number of events, two or more lists in combination can, using multi-systems estimation (MSE). In this paper, we test the application of MSE to honor killings in four countries: Canada, Germany, the United Kingdom, and the United States by comparing estimates from MSE to counts of cases produced by aggregating multiple lists from each country. We find that MSE produces plausible estimates that demonstrate that even in seemingly complete lists of individuals or cases underestimate the scope of honor killings in these countries.

Suggested Citation

  • Leonard, Mariel & Koenig, Teresa, 2026. "Missing Victims, Hidden Crimes: Improving Estimates of Honor Killings Using Missing Data Imputation," SocArXiv aq2et_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:aq2et_v1
    DOI: 10.31235/osf.io/aq2et_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6aad56b2711b1e5dfbebb0fc/
    Download Restriction: no
    File URL: https://libkey.io/10.31235/osf.io/aq2et_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
    ---><---

    References listed on IDEAS

    as
    1. Liqun Xi & Ray Watson & Paul S. F. Yip, 2008. "The Minimum Capture Proportion for Reliable Estimation in Capture–Recapture Models," Biometrics, The International Biometric Society, vol. 64(1), pages 242-249, March.
    2. repec:plo:pone00:0159832 is not listed on IDEAS
    3. Martin Bouchard, 2007. "A Capture–Recapture Model to Estimate the Size of Criminal Populations and the Risks of Detection in a Marijuana Cultivation Industry," Journal of Quantitative Criminology, Springer, vol. 23(3), pages 221-241, September.
    4. Sarah Brittain & Dankmar Böhning, 2009. "Estimators in capture–recapture studies with two sources," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(1), pages 23-47, March.
    5. Neugebauer, R. & Wittes, J., 1994. "Voluntary and involuntary capture-recapture samples--problems in the estimation of hidden and elusive populations," American Journal of Public Health, American Public Health Association, vol. 84(7), pages 1068-1069.
    6. John M. Roberts & Devon D. Brewer, 2006. "Estimating the prevalence of male clients of prostitute women in Vancouver with a simple capture–recapture method," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 745-756, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chatterjee Kiranmoy & Mukherjee Diganta, 2020. "Identifying the Direction of Behavioral Dependence in Two-Sample Capture-Recapture Study," Journal of Official Statistics, Paradigm, vol. 36(1), pages 25-48, March.
    2. Mark E. Piatek & Dankmar Böhning, 2024. "Deriving a zero-truncated modelling methodology to analyse capture–recapture data from self-reported social networks," METRON, Springer;Sapienza Università di Roma, vol. 82(2), pages 135-160, August.
    3. Pamela Barbadoro & Aurora Luciani & Matteo Ciotti & Marcello Mario D’Errico & on behalf of the AFP Working Collaborative Group, 2020. "Two-Source Capture-Recapture Method to Estimate the Incidence of Acute Flaccid Paralysis in the Marches Region (Italy)," IJERPH, MDPI, vol. 17(24), pages 1-8, December.
    4. Maxwell, Jane Carlisle & Pullum, Thomas W., 2001. "Using a modification of the capture-recapture model to estimate the need for substance abuse treatment," Evaluation and Program Planning, Elsevier, vol. 24(3), pages 257-265, August.
    5. Martin Bouchard, 2007. "A Capture–Recapture Model to Estimate the Size of Criminal Populations and the Risks of Detection in a Marijuana Cultivation Industry," Journal of Quantitative Criminology, Springer, vol. 23(3), pages 221-241, September.
    6. Dankmar Böhning & Alberto Vidal-Diez & Rattana Lerdsuwansri & Chukiat Viwatwongkasem & Mark Arnold, 2013. "A Generalization of Chao's Estimator for Covariate Information," Biometrics, The International Biometric Society, vol. 69(4), pages 1033-1042, December.
    7. Dankmar Böhning, 2010. "Some General Comparative Points on Chao's and Zelterman's Estimators of the Population Size," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(2), pages 221-236, June.
    8. Eric R. Wright & Ana LaBoy & Kara Tsukerman & Nicholas Forge & Erin Ruel & Renee Shelby & Madison Higbee & Zoe Webb & Melanie Turner-Harper & Asantewaa Darkwa & Cody Wallace, 2021. "The Prevalence and Correlates of Labor and Sex Trafficking in a Community Sample of Youth Experiencing Homelessness in Metro-Atlanta," Social Sciences, MDPI, vol. 10(2), pages 1-16, January.
    9. Sa-aat Niwitpong & Dankmar Böhning & Peter Heijden & Heinz Holling, 2013. "Capture–recapture estimation based upon the geometric distribution allowing for heterogeneity," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(4), pages 495-519, May.

    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:aq2et_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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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://socarxiv.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.