Some Determinants of Crime Reporting Among Economic and Financial Crime Victims: The Case of Azerbaijan

Relatively limited attention has been paid by scholars to explore the crime reporting behavior of white-collar crime victims, especially in developing countries, such as Azerbaijan, where some forms of white-collar crimes are widespread. Using the dataset of the first nationwide victimization survey (n = 1,214) in Azerbaijan, the current paper attempts to explore the determinants of crime reporting among 4 specific white-collar offense (fraud, request for bribery, sale of unsafe good and sale of unsafe food for consumption) among randomly selected, yet unrepresentative subsample of victims (n = 186). Offenses were categorized in two groups for analysis—financial/economic offenses and non-financial/economic offenses, hence two models in a binary logistic regression analysis. The results indicate that the extent of financial loss predicts the crime reporting behavior for victims of financial offenses. Those with a higher level of the perceived probability of being victimized by a violent crime were more likely to have notified the authorities of their victimization. Applicable for non-financial crimes only, the level of income has an inverse association with a decision to invoke the law. The relationship of a victim to an offender predicted a decision to contact the authorities—cases in which the offender was identified as a stranger were less likely to be reported to the law enforcement authorities than cases in which the offender had not been identified. No socio-demographic variable has a predictive capacity for either crime category. In addition, as the main motives for not mobilizing the law, almost half of the cases have been resolved in between the offender and victims, such as through compensation. The findings have several theoretical implications for white-collar crime literature. Suggestions for further research, as well as the limitations, are discussed toward the end of the paper.