IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v26y2002i1p3-39.html
   My bibliography  Save this article

Will Claims Workers Dislike a Computerized Fraud Detector?

Author

Listed:
  • Robert B. Smith

    (Social Structural Research)

Abstract

The computerized fraud detector (CFRD) assigns suspicion scores to questionable automobile insurance claims. Evaluators pilot tested this algorithm in three offices, comparing its effects with three matched offices. Observers uncovered that in two target offices and one comparison office, Millennium 2000 (M2K) also was being installed. The study design thus became as follows: Two offices had two interventions, one office had CFRD but not M2K, another office had M2K but not CFRD, and two offices had neither. Hierarchical linear models document that offices with both new computer systems will have the most unfavorable employee attitudes toward computerized fraud detection, followed by offices with only one new system. Employees with jobs of higher rank and employees not receptive to innovation will dislike computerized fraud detection. Implementation of one computer system, CFRD or M2K, may have minor negative fixed effects on employee attitudes, but their effects on the between-office variance are inconsequential.

Suggested Citation

  • Robert B. Smith, 2002. "Will Claims Workers Dislike a Computerized Fraud Detector?," Evaluation Review, , vol. 26(1), pages 3-39, February.
  • Handle: RePEc:sae:evarev:v:26:y:2002:i:1:p:3-39
    DOI: 10.1177/0193841X02026001001
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X02026001001
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0193841X02026001001?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. Raymond Boudon, 1996. "The `Cognitivist Model'," Rationality and Society, , vol. 8(2), pages 123-150, May.
    2. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    3. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    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. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    2. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    3. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    4. Keith Davis & Timothy Bell & Jacqueline Miller & Derek Misurski & Bela Bapat, 2011. "Hospital costs, length of stay and mortality associated with childhood, adolescent and young Adult meningococcal disease in the US," Applied Health Economics and Health Policy, Springer, vol. 9(3), pages 197-207, May.
    5. Barry T. Hirsch & Edward J. Schumacher, 2012. "Underpaid or Overpaid? Wage Analysis for Nurses Using Job and Worker Attributes," Southern Economic Journal, John Wiley & Sons, vol. 78(4), pages 1096-1119, April.
    6. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    7. Marcel Bilger & Willard G. Manning, 2015. "Measuring Overfitting In Nonlinear Models: A New Method And An Application To Health Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 75-85, January.
    8. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    9. Avi Dor & Partha Deb & Michael Grossman & Gregory Cooper & Siran Koroukian & Fang Xu, 2013. "Impact of Mortality-Based Performance Measures on Hospital Pricing: the Case of Colon Cancer Surgeries," NBER Working Papers 19447, National Bureau of Economic Research, Inc.
    10. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    11. Ciani Emanuele & Fisher Paul, 2019. "Dif-in-Dif Estimators of Multiplicative Treatment Effects," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-10, January.
    12. Inmaculada Martínez-Zarzoso, 2013. "The log of gravity revisited," Applied Economics, Taylor & Francis Journals, vol. 45(3), pages 311-327, January.
    13. Mary A. Burke & Ali Ozdagli, 2023. "Household Inflation Expectations and Consumer Spending: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 948-961, July.
    14. de Meijer C & Koopmanschap M & Bago d & Uva T & van Doorslaer E, 2009. "Time To Drop Time-To-Death? –Unravelling The Determinants of LTC Spending In The Netherlands," Health, Econometrics and Data Group (HEDG) Working Papers 09/33, HEDG, c/o Department of Economics, University of York.
    15. Hao Yu, 2017. "China’s medical savings accounts: an analysis of the price elasticity of demand for health care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(6), pages 773-785, July.
    16. John Mullahy, 2015. "In Memoriam: Willard G. Manning, 1946‐2014," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 253-257, March.
    17. Cantoni, Eva & Ronchetti, Elvezio, 2006. "A robust approach for skewed and heavy-tailed outcomes in the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 25(2), pages 198-213, March.
    18. Frank A. Sloan & Harold H. Zhang & Jingshu Wang, 2002. "Upstream Intergenerational Transfers," Southern Economic Journal, John Wiley & Sons, vol. 69(2), pages 363-380, October.
    19. Lin, Tsui-Fang, 2008. "Modifiable health risk factors and medical expenditures - The case of Taiwan," Social Science & Medicine, Elsevier, vol. 67(11), pages 1727-1736, December.
    20. Liu, Lei & Conaway, Mark R. & Knaus, William A. & Bergin, James D., 2008. "A random effects four-part model, with application to correlated medical costs," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4458-4473, 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:sae:evarev:v:26:y:2002:i:1:p:3-39. 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: SAGE Publications (email available below). General contact details of provider: .

    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.