This paper examines the relationship between the amount of information disclosed by bank holding companies (BHCs) and their subsequent risk profile and performance. Using data from the annual reports of BHCs with large trading operations, we construct an index of publicly disclosed information about the BHCs’ forward-looking estimates of market risk exposure in their trading and market-making a...

An intruder seeks to match a microdata file to an external file using a record linkage technique. The identification risk is defined as the probability that a match is correct. The nature of this probability and its estimation is explored. Some connections are made to the literature on disclosure risk based on the notion of population uniqueness.

k-Anonymity and differential privacy can be considered examples of Boolean definitions of disclosure risk. In contrast, record linkage and uniqueness are examples of quantitative measures of risk. Record linkage is a powerful approach because it can model different types of scenarios in which an adversary attacks a protected database with some information and background knowledge. Transparency ...

We use a rational expectations model to examine how public disclosure requirements affect listing decisions by rent-seeking corporate insiders, and allocation decisions by liquidity traders seeking to minimize trading costs. We find that exchanges competing for trading volume engage in a ‘race for the top’ whereunder disclosure requirements increase and trading costs fall. This result is robust...

The effect of situational factors is largely ignored by current studies on information privacy. This paper theorized and empirically tested how an individual’s decision-making on information disclosure is driven by competing situational benefits and risk factors. The results of this study indicate that, in the context of an e-commerce transaction with an unfamiliar vendor, information disclosur...

The challenge of balancing the competing objectives of allowing statistical analysis of confidential data and maintaining confidentiality is of great interest to national statistical agencies and other data custodians seeking to make their data available for research. This balance is often characterised as a trade-off between disclosure risk and data utility, where disclosure risk attempts to c...

OBJECTIVE Ensuring privacy of research subjects when epidemiologic data are shared with outside collaborators involves masking (modifying) the data, but overmasking can compromise utility (analysis potential). Methods of statistical disclosure control for protecting privacy may be impractical for individual researchers involved in small-scale collaborations. METHODS We investigated a simple a...

OBJECTIVE Based on a theoretical model, this study explored the effects that the disclosure of diabetes has on parental perceptions of a hypothetical child experiencing hypoglycemia. METHODS Parents (N = 610) first read vignettes that varied in a 2 x 2 design (Male vs. Female Character x Preventative Disclosure of Illness vs. Nondisclosure) and then answered several questions regarding the hy...

Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of...

Protecting numerical confidential data in data released by government agencies and other organizations poses a considerable challenge. There have been many different procedures that have been developed for this purpose. Among these procedures, Data shuffling offers the best compromise between preventing disclosure of information while preserving the usefulness of the data. Specifically Data shu...