In the data privacy context, specifically, in statistical disclosure control techniques, microaggregation is a well-known microdata protection method, ensuring the confidentiality of each individual. In this paper, we propose a new approach of microaggregation to deal with semantic sets of categorical data, like text documents. This method relies on the WordNet framework that provides complete ...

While most anonymization technology available today is designed for static and small data, the current picture of massive volumes dynamic data arriving at unprecedented velocities. From standpoint anonymization, challenging type streams. However, while majority proposals deal with publishing either count-based or aggregated statistics about underlying stream, little attention has been paid to p...

This paper uses a microlevel data set from 49 countries to create a direct measure of corruption, which portrays the extent of bribery as revealed by individuals who live in those countries. In addition, it investigates the determinants of being asked for a bribe at the individual level. The results show that both personal and country characteristics determine the risk of exposure to bribery. E...

Using 1990 Census microdata, we explore ethnic, racial and immigrant differences in private school attendance. We find high rates of private school attendance among white natives, white immigrants, and Asian natives. In contrast, we find low private school rates among black and Hispanic natives and immigrants, Asian immigrants, and other natives. Variations in income per capita and especially p...

Aggregation without the Aggravation? Nonparametric Analysis of the Representative Consumer In the tradition of Afriat (1967), Diewert (1973) and Varian (1982), we provide a revealed preference characterisation of the representative consumer. Our results are simple and complement those of Gorman (1953, 1961), Samuelson (1956) and others. They can also be applied to data very readily and without ...

This paper uses affiliate level data from Swedish multinationals to examine the impact of tax treaties on both overall affiliate sales and the composition of those sales. In line with previous results, we find little evidence for an effect of treaties on the level of total sales. We do, however, find that a tax treaty increases the probability of investment by a firm in a given country. In addi...

Dissemination of data with sensitive information about individuals has an implicit risk of unauthorized disclosure. Perturbative masking methods propose the distortion of the original data sets before publication, tackling a difficult tradeoff between data utility (low information loss) and protection against disclosure (low disclosure risk). In this paper we describe how information loss and d...

Controlled tabular adjustment (CTA) can be classified within the group of approaches that perturb output data (i.e., tabular data), unlike other methods that focus on the original microdata. Being a post-tabular data perturbation technique it becomes easier to guarantee consistency and quality of the released information (e.g., table additivity, preservation of subtotal or total cells of the or...