Showing 1 - 9 of 9
This article considers the assessment of the risk of identification of respondents in survey microdata, in the context of applications at the United Kingdom (UK) Office for National Statistics (ONS). The threat comes from the matching of categorical “key“ variables between microdata records...
Persistent link: https://www.econbiz.de/10009440011
Nonresponse is a major source of estimation error in sample surveys. The response rate is widely used to measure survey quality associated with nonresponse, but is inadequate as an indicator because of its limited relation with nonresponse bias. Schouten et al. (2009) proposed an alternative...
Persistent link: https://www.econbiz.de/10009440595
Government statistical agencies often apply statistical disclosure limitation techniques to survey microdata to protect the confidentiality of respondents. There is a need for valid and practical ways to assess the protection provided. This paper develops some simple methods for disclosure...
Persistent link: https://www.econbiz.de/10009440609
We consider the assessment of disclosure risk in the release of microdata from social surveys as public-use files. We consider both identification risk and the notion of differential privacy introduced in the computer science literature. We show that sampling, as a disclosure limitation...
Persistent link: https://www.econbiz.de/10009457857
Government statistical agencies often apply statistical disclosure limitation techniques to survey microdata to protect confidentiality. There is a need for ways to assess the protection provided. This paper develops some simple methods for disclosure limitation techniques which perturb the...
Persistent link: https://www.econbiz.de/10009458016
This article considers the assessment of the risk of identification of respondents in survey microdata, in the context of applications at the United Kingdom (UK) Office for National Statistics (ONS). The threat comes from the matching of categorical 'key' variables between microdata records and...
Persistent link: https://www.econbiz.de/10009458308
This article considers the assessment of the risk of identification of respondents in survey microdata, in the context of applications at the United Kingdom (UK) Office for National Statistics (ONS). The threat comes from the matching of categorical “key“ variables between microdata records...
Persistent link: https://www.econbiz.de/10009458309
The increasing efforts and costs required to achieve survey response have led to a stronger focus on survey data collection monitoring by means of paradata and to the rise of adaptive and responsive survey designs. Indicators that support data collection monitoring, targeting and prioritizing in...
Persistent link: https://www.econbiz.de/10009458372
Nonresponse is a major source of estimation error in sample surveys. The response rate is widely used to measure the quality of a sample survey associated with nonresponse. It is, however, inadequate as an indicator because of its limited relation with nonresponse bias. Schouten et al. (2009)...
Persistent link: https://www.econbiz.de/10009458469