Abstract
While it is generally argued that threats of legal sanctions are more effective with offenders involved in economic crimes than with delinquents committing more conventional crimes, such an affirmation rests on weak empirical evidence. Also, most studies supporting this proposition were conducted with non-experimental designs, thus, undermining the interval validity of the results. On the other hand, studies base their predictions on individual factors and do not incorporate contextual factors. To overcome those limitations, a randomized field experiment was implemented in four insurance companies to incorporate contextual factors into the dynamics of deterrence. This study assessed the effect of a written threat (a deterrent letter reminding insured persons of the punishment for insurance fraud) on claim padding behaviours of insured persons filing claims for residential theft. A deterrent-letter project was implemented in four insurance companies, with claims randomly assigned to the experimental or the control group. Cases belonging to the control group were managed as usual, while individuals in the experimental group received the written threat. The experimental design made sure that the deterrent stimulus was exactly delivered to the insured persons when they had the opportunity to exaggerate the value of their claims. Findings demonstrate that claimants in the experimental group were less likely to pad their claims than were those in the control group. The letter was effective, regardless of the means of delivery. In conclusion, the administration of a written threat at the moment of criminal opportunity appears to be an effective strategy for preventing economic crimes.
This is a preview of subscription content, access via your institution.

Notes
Although those three studies come to the conclusion that the threat of legal sanctions is effective in deterring economic crimes, they differ in several ways. They investigated the effect of a deterrent stimulus on distinct and specific forms of economic crimes: tax evasion (Schwartz and Orleans 1967); restitution payments (Lurigio and Davis 1990) and claim padding (Tremblay et al. 2000). Experimental protocols also varied across the studies. While Lurigio and Davis (1990) and Tremblay et al. (2000) delivered written threats to offenders and potential offenders, respectively, Schwartz and Orleans (1967) conducted interviews with tax payers. Therefore, we cannot conclude that the stimuli used in these experiments would produce the same results in other experiments attempting to prevent identical forms of crimes.
As has been pointed out, the protocol was slightly different in the fourth company (company D).
Note that one of the experimental conditions that were used in the study by Tremblay et al. (2000)—the persuasive letter—was dropped in this study since it was not implemented in all companies. Findings showed that appealing to conscience seemed to increase the amounts of claims.
All monetary values reported in this section are expressed in Canadian dollars.
The 105.08% value might appear to be unrealistic, but it represents a case where the claimant asked for an amount higher than the value for which he was insured. This is the only case where it happed. This client was insured for $10,000 and claimed $10,507.56.
Since some values for the ratio were less than 1, we added 1 to all values in order to avoid having negative logarithmic values.
The Bonferroni test was used to calculate all differences between means.
Company D had a mean ratio:value (1.92) significantly higher (P < 0.05) than the one observed in Company B (1.53). All other means were similar (P > 0.05): 1.69 in Company A and 1.74 in Company C.
When the average amounts claimed were calculated with the claim value:ratio, the mean values were slightly higher than those of the amounts claimed. Although the natural logarithmic transformation reduced the asymmetry in the ratio values, the data were still slightly skewed. Therefore, the distribution of the data can explain differences in both means. On the other hand, the form of the distribution was not a threat to the validity of the results obtained through the t-tests and full factorial ANOVA, since our sample contained more than 50 units of analysis (Fox 2003).
Insurance fraud estimations not only vary from one study to another, but there also is no agreement on the methodologies to use to compute such estimates (Clarke 1990; Derrig 2002). Notwithstanding the different methodologies, some estimate the general costs associated with insurance fraud (Report of the National Committee of Experts on Insurance Fraud 1994), while others measure the extent of some precise forms of insurance frauds (see Tremblay et al. 1992). For instance, Tremblay et al. (1992) combined survey and insurance data. In 1989, 73,380 claims were made to Quebec’s insurers. On average, $262 were paid per claim. The first estimate is based on findings obtained from a survey conducted among insurance workers (independent loss adjusters, loss adjusters, claim supervisors and claim directors). According to insurance respondents surveyed (n = 247), 38% of claims are exaggerated (n = 27,884) and 50% of the amount asked is due to padding. Thus, real damages sustained would be equal to about $175. This implies that 1.25% of all indemnities paid by insurance companies ($87 × 27,884 claims/192.4 millions paid in indemnities) can be attributed to padding, or $12 for each $1,000. The second estimate is based on findings from a survey realized among a representative sample of the Quebec population. According to the participants, 13.5% of claims (3,764 on 73,380) are inflated and 65% of the value claimed is associated with ‘boosting’ (real damages equal $160). Based on these parameters, claim padding represents 0.02% of the payments ($391,455). On the other hand, the Report of the National Committee of Experts on Insurance Fraud (1994) investigated 500 closed files and 440 suspicious cases and determined, based on common fraud indicators, that about 15% of all claims were suspicious in Canada. Extrapolation of these findings to the total claims paid out in 1992 suggest that 1.3 billion of indemnities paid in 1992 were partially or fully fraudulent. No distinction was made between false claims and claim padding or between types of fraud: vehicle, residential, health care, etc.
One could argue that these notions can hardly be translated into blocks, but, as demonstrated by Sherman et al. (1992) and Lurigio and Davis (1990), someone’s stake in conforming to the rules can be estimated with socio-demographic indicators such as marital and employment status. As highlighted by Lurigio and Davis, the notification procedure was more effective with offenders who were employed and who had fewer prior arrests and prior probations.
References
Alm, J., McClelland, G. H., & Schulze, W. D. (1992). Why do people pay taxes? Journal of Public Economics, 48, 21–38.
Alm, J., Sanchez, I., & De Juan, A. (1995). Economic and noneconomic factors in tax compliance. KYKLOS, 48, 3–18.
Andenaes, J. (1974). Punishment and deterrence. Ann Arbor: The University of Michigan Press.
Birkbeck, C., & LaFree, G. (1993). The situational analysis of crime and deviance. Annual Review of Sociology, 19, 113–137.
Blumstein, A., Cohen, J., & Nagin, D. (Eds.) (1978). Panel on research on deterrence and incapacitative effects. Washington D.C: National Academy of Sciences.
Boruch, R., Snyder, B., & DeMoya, D. (2000). The importance of randomized field trials. Crime and Delinquency, 46, 156–180.
Braithwaite, J., & Geis, G. (1982). On theory and action for corporate crime control. In G. Geis (Ed.), White collar crime (pp. 189–210). Lexington: D.C. Heath.
Chambliss, W. J. (1967). Types of deviance and the effectiveness of legal sanctions. Wisconsin Law Review, pp. 703–719.
Clarke, M. (1990). The control of insurance fraud: A comparative view. British Journal of Criminology, 30, 1–23.
Clarke, R. V. (1983). Situational crime prevention: Its theoretical basis and practical scope. Crime and Justice, 4, 1–23.
Cohen, J. (1988). Statistical power analysis for the behavioural science (2nd ed.) Hillsdale: L Erlbaum Associates.
Cusson, M. (1993). Situational deterrence: Fear during the criminal event. In R. V. Clarke (Ed.), Crime prevention studies vol. 1 (pp. 55–68). Monsey: Criminal Justice Press.
DeJuan, A., Lasheras, M. A., & Mayo, R. (1994). Voluntary tax compliant behaviour of Spanish income tax payers. Public Finance, 49, 90–105.
Derrig, R. A. (2002). Insurance fraud. The Journal of Risk and Insurance, 69, 271–287.
Dubin, J. A., Graetz, M. J., & Wilde, L. L. (1987). Are we a nation of tax cheaters? New econometric evidence on tax compliance. The American Economic Review, 77, 240–245.
Dubin, J. A., & Wilde, L. L. (1988). An empirical analysis of federal income tax auditing and compliance. National Tax Journal, 16, 61–74.
Elffers, J., Weigel, R. H., & Hessing, D. J. (1987) The consequences of different strategies for measuring tax evasion behaviour. Journal of Economic Psychology, 8, 311–337.
Elis, L., & Simpson, S. S. (1995). Informal sanction threats and corporate crime: Additive versus multiplicative models. Journal of Research in Crime and Delinquency, 32, 399–424.
Farrington, D. P. (1983). Randomized experiments on crime and justice. Crime and Justice, 4, 257–308.
Farrington, D. P., Ohlin, L. E., & Wilson, J. Q. (1986). Understanding and controlling crime. New York: Springer.
Fox, W. (2003). Social statistics (4th ed.) Toronto: Wadsworth/Thomson Learning.
Friedland, N., Maital, S., & Rutenberg, A. (1978). A simulation study of income tax evasion. Journal of Public Economics, 10, 107–116.
Geerken, M. R., & Gove, W. R. (1975). Deterrence: Some theoretical considerations. Law and Society Review, 9, 497–513.
Geis, G. A., (Ed.) (1982). On white collar crime. Lexington: Lexington Books.
Gibbs, J. P. (1979). Assessing the deterrence doctrine. American Behavioral Scientist, 22, 653–677.
Green, G. S. (1985). General deterrence and television cable crime: A field experiment in social control. Criminology, 23, 629–645.
Kinsey, K. A., & Grasmick, H. G. (1993). Did the Tax Reform Act of 1986 improve compliance? Three studies of pre-and-post-TRA compliance attitudes. Law and Policy, 15, 293–326.
Lipsey, M. (1990). Design sensitivity: Statistical power for experimental research. Thousand Oaks: Sage.
Lodge, M. (1981). Magnitude scaling: Quantitative measurements of opinions. Beverly Hill: Sage.
Lurigio, A. J., & Davis, R. C. (1990). Does a threatening letter increase compliance with restitution orders? A Field Experiment. Crime and Delinquency, 36, 537–548.
Mason, R., & Calvin, L. D. (1978). A study of admitted income tax evasion. Law and Society, 13, 73–89.
Nagin, D. S., & Pogarsky, G. (2004). Time and punishment: Delayed consequences and criminal behavior. Journal of Quantitative Criminology, 20, 295–318.
Report of the National Committee of Experts on Insurance Fraud [Rapport du comité national d’experts sur la fraude à l’assurance] (1994), La Fraude à l’assurance au Canada. Canada: Industrie canadienne de l’assurance - Insurance Bureau of Canada.
Ross, L. H. (1970). Settled out of court. Chicaho: Aldine.
Schwartz, R. D., & Orleans, S. (1967). On legal sanctions. The University of Chicago Law Review, 34, 274–300.
Sheffrin, S. M., & Triest, R. K. (1992). Can brute deterrence backfire? Perceptions and attitudes in taxpayer compliance. In J. Slemrod (Ed.), Who pays taxes and why? Tax compliance and enforcement (pp. 193–218). Ann Arbor: University of Michigan Press.
Sherman, L., Smith, D. A., Schmidt, J. D., & Rogan, D. P. (1992). Crime, punishment, and stake in conformity: Legal and informal control of domestic violence. American Sociological Review, 57, 680–690.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.) Boston: Allyn and Bacon.
Thurman, Q. C. (1989). General prevention of tax evasion. A factorial survey approach. Journal of Quantitative Criminology, 5, 127–146.
Tittle, C. (1969). Crime rates and legal sanctions. Social Problems, 16, 409–423.
Tremblay, P., Bacher, J-L., Tremblay, M., & Cusson, M. (2000). Gonflement des demandes d’indemnisation pour vol et seuil de tolérance des assureurs : Une analyse expérimentale de dissuasion situationnelle. Canadian Journal of Criminology, 42, 21–38.
Tremblay, P., Massé, B., & Clermont, Y. (1992). Les fraudes en assurances générales. In J.-L. Fortin & J. D. Girard (Eds.), La fraude à l’assurance - Actes du Colloque de Montréal du 26 février 1992 (pp. 127–210). Montreal: Presses de l’Université de Montréal.
Varma, K. N., & Doob, A. N. (1998). Deterring economic crimes: The case of tax evasion (Canada). Canadian Journal of Criminology, 40, 165–184.
Webley, P. (1987). Audit probabilities and tax evasion in a business simulation. Economic Letters, 25, 267–270.
Webley, P., & Halstead, S. (1986). Tax evasion on the micro: Significant simulations or expedient experiments? The Journal of Interdisciplinary Economics, 1, 87–100.
Weisburd, D. (2000). Randomized experiments in criminal justice policy: Prospects and problems. Crime and Delinquency, 46, 181–193.
Weisburd, D. (2003). Ethical practice and evaluation of interventions in crime and justice: The moral imperative for randomized trials. Evaluation Review, 27, 336–354.
Weisburd, D., Chayet, E. F., & Waring, E. J. (1990). White-collar crime and criminal careers: Some preliminary findings. Crime and Delinquency, 36, 342–355.
Weisburd, D., Lum, C. M., & Petrosino, A. (2001). Does research design affect study outcomes in criminal justice? ANNALS APPSS, 578, 50–70.
Weisburd, D., Petrosino, A., & Mason, G. (1993). Design sensitivity in criminal justice experiments. Crime and Justice, 17, 337–361.
Weisburd, D., & Taxman, F. S. (2000). Developing a multicenter randomized trial in criminology: The case of HIDTA. Journal of Quantitative Criminology, 16, 315–340.
Weisburd, D., Waring, E., & Chayet, E. (1995). Specific deterrence in a sample of offenders convicted for white-collar crimes. Criminology, 33, 587–607.
Wenzel, M. (2004). The social side of sanctions: Personal and social norms as moderators of deterrence. Law and Human Behavior, 28, 547–567.
Williams, K. R., & Hawkins, R. (1986). Perceptual research on general deterrence: A critical review. Law and Society, 20, 545–572.
Witte, A. D., & Woodbury, D. F. (1985). The effect of tax laws and tax administration on tax compliance: The case of the U.S. individual income tax. National Tax Journal, 38, 1–13.
Zimring, F. E., & Hawkins, G. J. (1973). Deterrence: The legal threat in crime control. Chicago: University of Chicago Press.
Acknowledgements
The research associated with this article was funded by the Social Sciences and Humanities Research Council of Canada and the Insurance Bureau of Canada. We would like to thank two anonymous reviewers and the editor of the Journal for their precious comments. We are also grateful to Steven Sacks for editing the paper, and we thank Pierre Tremblay—our colleague—for reviewing the whole manuscript.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
Copy of the deterrent letter
Dear Madam\Dear Sir,
As you may already know the rise in insurance fraud is a matter of concern for the insurance industry. And since the deliberate boosting of insurance claims is one of the most common form of such frauds, we, at the Insurance Bureau of Canada, have taken the liberty to share some of our feelings about this matter.
Perhaps you have already been told, at one time or another: “To really cover your losses, why don’t you boost your claim by 50%!”. This may sound like a “friendly advice”. But we think otherwise. Deliberately exaggerating the value of your losses is a crime according to the Criminal Code (Article 380). This crime is not only punishable by a prison sanction but could also invalidate any right to indemnity. And we know, as a recent poll has revealed, that a very large majority of people feel that boosting insurance claims is morally wrong. We at the Insurance Bureau of Canada have decided to encourage insurance companies to increase their effort in their fight against insurance frauds.
On the other hand, we very well know that the large majority of insurance holders share our beliefs. And this is why we take this opportunity to ask for your help and your cooperation in completing carefully the enclosed forms.
Sincerely Yours,
Note on the claim form
I, the undersigned, ... ... ... ..., being aware that a false declaration concerning an application for indemnity not only invalidates any right to indemnity but may also lead to prosecution under article 380 of the Criminal Code, do declare that all information given herein above is true, accurate and complete.
Rights and permissions
About this article
Cite this article
Blais, E., Bacher, JL. Situational deterrence and claim padding: results from a randomized field experiment. J Exp Criminol 3, 337–352 (2007). https://doi.org/10.1007/s11292-007-9043-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11292-007-9043-z
Keywords
- Claim padding
- Crime prevention
- Insurance fraud
- Randomized field experiment
- Situational deterrence
- Written threat