Government agencies must simultaneously disseminate useful microdata and maintain confidentiality of individual records. Releasing synthetic data is one approach. We propose to create synthetic data using a combination of quantile regression, hot deck imputation, and rank swapping. The result is a releasable data set containing original values for a few key variables, synthetic quantile regress...

Previous work by these authors has been directed to measuring the performance of microdata masking methods in terms of information loss and disclosure risk. Based on the proposed metrics, we show here how to improve the performance of any particular masking method. In particular, post-masking optimization is discussed for preserving as much as possible the moments of first and second order (and...

An important prerequisite for promoting sustainable development and value chain climbing of textile enterprises is to achieve a win-win situation between environmental protection export technical complexity. Thus, based on Chinese enterprises’ microdata, this paper investigates the impact cleaner production standards implementation complexity using double difference method. The results show tha...

Traditionally, statistical agencies generally release outputs in the form of microdata and tabular data. Microdata contain data from social surveys and tabular data contain either frequency counts, such as for census dissemination, or magnitude data typically arising from business surveys, eg. total revenue. For each of these traditional outputs, there has been much research on how to quantify ...