This paper studies whether and to what extent transparent disclosure prevents inefficient liquidation arising from rollover risk. We model an illiquid but solvent borrower who can design a public signal about what creditors can recover from forcing liquidation, and what their claims would be worth if the firm survives. We find that the signal structure that minimizes rollover risk never identif...

In this study, the impact of corporate social responsibility (CSR ) disclosure on idiosyncratic risk has been investigated concerning three stakeholder theory, information asymmetry, and risk management. It also goes further and explores the impact of some corporate governance mechanisms such as ownership structure, board characteristics, and incentive contracts on this relationship. To achieve...

This study analyzes 435 oocyte donor recruitment advertisements to assess whether entities recruiting donors of oocytes to be used for in vitro fertilization (IVF) procedures include a disclosure of risks associated with the donation process in their advertisements. Such disclosure is required by the self-regulatory guidelines of the American Society for Reproductive Medicine (ASRM) and by law ...

HIV status disclosure plays a crucial role in reducing risk behaviors of drug and sexual partners and thereby limiting HIV transmission. As people who inject drugs (PWID) bear a significant HIV burden and disclosure research among PWID is relatively few, we reviewed the literature to highlight what is known about disclosure among HIV-positive PWID. Searches of articles published from 2000 to 20...

background disclosure of hiv is important for improving self-care behaviors, psychological well-being, commitment to the treatment, and reducing risk of transmission. one of the major benefits of disclosure is social support, which is an essential resource for effective coping with hiv infection. however, receiving any social support requires disclosing of hiv status. objectives this study aime...

As described in Chapter 5, there is a plethora of statistical disclosure control (SDC) methods to protect microdata. This chapter provides guidance in choosing a particular SDC method by comparing some of the methods discussed in Chapter 5 on the basis of both information loss and disclosure risk. Information loss can be readily quantified using analytical measures (either generic or data-use-s...

This paper describes a geographically intelligent approach to disclosure control for protecting flexibly aggregated census data. Increased analytical power has stimulated user demand for more detailed information for smaller geographical areas and customized boundaries. Consequently it is vital that improved methods of statistical disclosure control are developed to protect against the increase...

An important measure of identification risk associated with the release of microdata or large complex tables is the number or proportion of population units that can be uniquely identified by some set of characterizing attributes which partition the population into subpopulations or cells. Various methods for estimating this quantity based on sample data have been proposed in the literature by ...

This paper provides a review of common statistical disclosure control (SDC) methods implemented at Statistical Agencies for standard tabular outputs containing whole population counts from a Census (either enumerated or based on a register). These methods include record swapping on the microdata prior to its tabulation and rounding of entries in the tables after they are produced. The approach ...

We extend a disclosure risk measure defined for population based frequency tables to sample based frequency tables. The disclosure risk measure is based on information theoretical expressions, such as entropy and conditional entropy, that reflect the properties of attribute disclosure. To estimate the disclosure risk of a sample based frequency table we need to take into account the underlying ...